Monday, 9 November 2015

Smaller stocks can shine bright, says Templeton Group


However, Templeton Emerging Markets Group believes within the emerging-markets universe, it sees a number of small-cap stocks with shining potential that should not be ignored.
According to Dr Mark Mobius, executive chairman of Templeton Emerging Markets Group, they have found that as an asset class, emerging-market small cap is one of the most widely misunderstood and underutilised among investors.
“It is often perceived to be a place to avoid in times of uncertainty, but we see things differently.
Many small companies are driven by local market dynamics and are therefore less dependent on global market trends,” he said.
Mobius went on to note that the small-cap emerging-market universe is anything but small—there are thousands of small-cap stocks available to invest in today, and the investment universe continues to expand due to the gradual liberalisation of equity markets to foreign investors and the continued expansion of equity markets through initial public offerings, secondary offerings and privatisations.
Among the many reasons to consider investing in small-cap stocks, smaller companies in emerging markets are generally privately owned, competitively operated, more local and are often larger players in smaller industries, Mobius said.
“Aside from relatively high organic growth compared with most larger companies, industry consolidation and acquisitions by larger companies as well as increased investor attention are additional potential sources of growth which can be independent of the broader macroeconomic environment.
“Many of the stocks in this space are under-researched or unloved, giving us the opportunity to uncover interesting opportunities others may have overlooked.
“We see that as the essence of what investing in emerging markets generally is about—discovering undervalued stocks in burgeoning markets that could rise to become tomorrow’s stars,” he said.
Mobius went on to note that the Asian small-cap space is of particular interest to them, and they have been using recent market volatility to search for opportunities.
“We believe reforms taking place in many emerging markets in the region could prove to be beneficial for smaller companies.
“Additionally, since domestic demand is typically the main revenue driver for small-cap companies, the combination of good economic growth, a growing middle class and lower oil prices—which can help check inflation and support a lower-interest rate environment—could be an added benefit to smaller companies in the region, freeing up consumer dollars to purchase their products,” he added.
Mobius noted that within the small-cap space in emerging Asia, they currently favor consumer-oriented companies given the growth opportunities they see across many markets, as well as health care, pharmaceuticals and biotechnology companies.
He further noted that this of course does not mean these companies are all well managed or worthy of investment.
“Therefore, purchasing small-cap stocks through a passive (index-based) strategy may produce unintended consequences.
“Stocks with poor growth prospects, poor corporate governance or other such factors may be components of a small-cap benchmark index, but they might not be desirable to invest in over the long term,” he said, adding that regular index rebalancing can generate significant portfolio turnover for passive investors.
We strive to generate alpha1 through our bottom-up stock selection process, looking for companies that we think can increase their market cap by a multiple over a five-year time horizon, and we strive for only modest yearly turnover,” Mobius said.
On risk, Mobius pointed out that it is certainly an important part of a discussion about small-cap investing.
“I’ve never met a client who complains about upside risk. What worries clients is downside risk, and this is where we think we add value as active investors.
“Our team maintains an unrelenting focus on quality, seeking fundamentals that are on almost every measure superior to a benchmark index, including higher return on equity (ROE), profit margins and earnings-per share (EPS) growth, lower debt, better dividend yield, and most importantly for us at Templeton, cheaper valuations in terms of priceearnings ratios,” he said.
Mobius noted that contrary to many investor assumptions, the emerging-market small-cap benchmark index, as measured by the MSCI Emerging Markets Small Cap Index, at times has been less volatile than the broader index, the MSCI Emerging Markets Index, as well as the Russell 2000® Index, a US small-cap benchmark.2
“To us, that makes sense because small-cap companies are less correlated with each other, and less integrated into global markets than large caps generally speaking,” he said.
Mobius further noted that there are also numerous inefficiencies in small-cap markets, offering potential for alpha.
In the US, small-cap stocks generally trade at a premium to large caps in terms of price-earnings, due to the higher growth they can provide, he says.
“When you look at emerging markets, sometimes the opposite may be true. In India, for example, small caps are generally trading at a discount to large caps.
“Much of this investment money is what we’d call ‘lazy money’, or passive investment money, concentrated in large-cap index stocks that are not only more expensive but also subject to the volatility generated by rapid inflows and outflows of such foreign investments.
“Accordingly, we have found many undiscovered opportunities in Indian small caps,” he added.
Overall, Mobius noted that small-cap stocks have the potential to offer what is becoming ever-more rare in a slowing global economy—growth—and not only in India.
“Many emerging markets offer this strong growth potential—with many small-cap stocks available to potentially take advantage of it,” he concluded.


Read more: http://www.theborneopost.com/2015/11/05/smaller-stocks-can-shine-bright-says-templeton-group/#ixzz3qwWxvQi3

UEM Edgenta in Forbes Asia’s Best Under A Billion


The list honours 200 leading public companies from a universe of 17,000 companies in the Asia-Pacific region with annual revenue of between US$5 million (US$1=RM4.26) and US$1 billion, having positive net income and been publicly traded for at least a year.
Managing director and chief executive officer Azmir Merican said the recognition is an affirmation of UEM Edgenta’s revenue growth, high performance standards of services as well as the company’s role as one of the leading total asset solution providers in the region.
“UEM Edgenta’s vision of ‘optimising assets to improve lives’ sets the philosophy of how we approach our work, and our catchphrase ‘empowered by science, inspired by humans’ demonstrates our commitment to leveraging on technology to give us the edge,” he said in a statement yesterday.
From 2010 to 2014, UEM Edgenta’s compound annual growth rate (CAGR) grew by 7.8 per cent, while its market capitalisation increased by more than three times in under three and a half years and total shareholder return for the past two years significantly outperformed the FTSE Bursa Malaysia KLCI by approximately 132 per cent.
The recognition follows the recent award of the 2015 Frost & Sullivan Asia Pacific Integrated Facilities Management Competitive Strategy Innovation and Leadership Award. — Bernama


Read more: http://www.theborneopost.com/2015/11/05/uem-edgenta-in-forbes-asias-best-under-a-billion/#ixzz3qwVtYKEk

Petronas Dagangan’s 9M15 earnings beats expectations

November 4, 2015, Wednesday

Petronas Dagangan said in a filing on Bursa Malaysia that group operating profit for the period ended September 30, 2015 was RM963.8 million, an increase of RM251.6 million compared to the corresponding period last year mainly as a result of lower operating expenditure (opex) by RM123 million, higher other income by RM75.2 million and higher gross profit of RM53.4 million.
According to AllianceDBS Research Sdn Bhd (AllianceDBS Research), Petronas Dagangan booked net profit of RM219 millon in the third quarter of 2015 (3Q15), taking 9M15 net profit to RM697.9 million.
This beat expectations at 96 per cent of the research house’s full year forecasts, and 90 per cent of consensus.
Excluding the non-core items, Petronas Dagangan’s normalised cumulative 9M15 earnings of RM623.6 million exceeded the research arm of MIDF Amanah Invesment Bank Bhd’s (MIDF Research) full year earnings expectation by a variance of more than +10 per cent.
“Management guided that the commendable earnings were due to aggressive cost control efforts,” it said.
AllianceDBS Research noted that given the challenging operating environment, Petronas Dagangan has moderated the group’ expansion to 20 to 30 stations per annum (from 50 per annum).
The research house further noted that Petronas Dagangan also has undertaken various measures to keep opex at RM320-350 million per quarter, leading to a 16 per cent year on year (y-o-y) decline in opex in the first half of 2015 (1H15).


Read more: http://www.theborneopost.com/2015/11/04/petronas-dagangans-9m15-earnings-beats-expectations/#ixzz3qwTMYKMG

Tuesday, 3 November 2015

Behavioural Finance - A Summary

Here is a summary of what you will learn in Behavioural Finance:

Conventional finance is based on the theories which describe people for the most part behave logically and rationally. People started to question this point of view as there have been anomalies, which are events that conventional finance has a difficult time in explaining.

Three of the biggest contributors to the field are psychologists, Drs. Daniel Kahneman and Amos Tversky, and economist, Richard Thaler.

The concept of anchoring draws upon the tendency for us to attach or "anchor" our thoughts around a reference point despite the fact that it may not have any logical relevance to the decision at hand.

Mental accounting refers to the tendency for people to divide their money into separate accounts based on criteria like the source and intent for the money. Furthermore, the importance of the funds in each account also varies depending upon the money's source and intent.

Seeing is not necessarily believing as we also have confirmation and hindsight biases. Confirmation bias refers to how people tend to be more attentive towards new information that confirms their own preconceived options about a subject. The hindsight bias represents how people believe that after the fact, the occurrence of an event was completely obvious.

The gambler's fallacy refers to an incorrect interpretation of statistics where someone believes that the occurrence of a random independent event would somehow cause another random independent event less likely to happen.

Herd behavior represents the preference for individuals to mimic the behaviors or actions of a larger sized group.

Overconfidence represents the tendency for an investor to overestimate his or her ability in performing some action/task.

Overreaction occurs when one reacts to a piece of news in a way that is greater than actual impact of the news.

Prospect theory refers to an idea created by Drs. Kahneman and Tversky that essentially determined that people do not encode equal levels of joy and pain to the same effect. The average individuals tend to be more loss sensitive (in the sense that a he/she will feel more pain in receiving a loss compared to the amount of joy felt from receiving an equal amount of gain).


Read more: Behavioral Finance: Conclusion | Investopedia http://www.investopedia.com/university/behavioral_finance/behavioral12.asp#ixzz3qP6bHYmC

Thursday, 22 October 2015

Growing versus Non-growing company. Value Investing versus Growth Investing.

A growing company versus a non-growing company


Given the choice, you should choose to invest in a company that is growing its revenues, earnings, and free cash flows over time.  This company continues to grow its intrinsic value and over time, you will be well rewarded for investing in it.


Is investing into growing companies the same as growth investing?

Let us illustrate using company Y.  Company Y is a company that is growing its revenues, and earnings 15% per year, consistently and predictably for the last 10 years.   

At certain times, Company Y is available at a P/E of 10.  Buying Company Y at this stage is a bargain.  It is available at a bargain price.  This is value investing.  If you use PEG ratio of Peter Lynch, it is available at a PEG ratio of 10/15 which is < 1.   


At other times, Company Y is available at a P/E of 20.  Buying Company Y at this stage is not value investing.  Those who buy at this P/E may feel they are also buying a bargain, as they projected that the earnings of Company Y is going to be great and the growth in earnings higher than the 15% per annum in the past.  Maybe they projected that the earnings will be growing  30% per year.   This is growth investing.  If you use PEG ratio of Peter Lynch, it is still available at a PEG ratio of < 1 (= 20/30).

Thus, is there a difference between value investing and growth investing, from a bargain perspective?   There appear to be 2 sides of the same coin.  Those buying into the stock using these strategies are of the opinion they are buying a bargain.   

However, there are differences too.   Historically, value investing has outperformed growth investing when assessed over a long time frame of investing.  But beware of such analysis.   Among the value investing stocks selection, many of the companies did not perform as expected and the fundamentals tanked.   Likewise, those stocks in growth investing, projected to grow at high rate and bought at high P/E, failed to deliver the growth and did not perform as expected.  

Let us learn from Buffett.  Stays with the company that you understand.  This company must have business with durable competitive advantage.  Its management must have unquestionable integrity.  Finally, buy them at a fair price.  

Yes, search out for the growing companies.  I too love such companies.   Above all, emphasizes the quality of the growth of business and its management.   Finally, look at the price (valuation).   Whether it is value or growth investing, buy growing companies at reasonable price (GARP). 

Tuesday, 6 October 2015

Pareto Principle: 80-20 rule













Lets first understand the definition of 80-20 rule; according to Wikipedia the definition is:
The principle was suggested by management thinker Joseph M. Juran. It was named after the Italian economist Vilfredo Pareto, who observed that 80% of income in Italy was received by 20% of the Italian population. The assumption is that most of the results in any situation are determined by a small number of causes.
Now let's understand this definition in the language which is simple for you and me.
“20% of work delivers your 80% happiness and output.”


In the financial terms even this rules apply. Your 80% of income is produced by your 20% of activities. In your companies also 80% of the revenue is generated by 20% of products. Surely, this is not hard and fast rule but this can be applied in different ways like suppose in your company 80% revenue is generated by 20% of employee. The ratio can differ but it might be somewhat like 80-20.


Now lets try to apply this rule to Value Investor: In share market you hear a lot of news, every minute, every hour and every day. Some things happen in any part of any country and these news channel will surely try to connect it with economy from different perspective; that’s their role so I am not blaming them. But if you observe them carefully you will find that for a value investor in the long term only 20% of these news will might deliver his or her 80% results. So, as a value investor you must focus on those 20% of news which would be really helpful to you.

Monday, 5 October 2015

Investing, the greatest business in the world.

Enhance Your Investing Returns By Not Swinging At Every Pitch

Summary

Building a core concentrated portfolio of 3-5 stocks is very advantageous over buying 20-30 individual stocks.
Not swinging at every investing idea will not only enhance returns but it will let you focus on building positions in your bests ideas.
Some of the richest investors in the past have gotten rich by putting all of their eggs in one basket or in 3-5 small baskets.
"I call investing the greatest business in the world, because you never have to swing. You stand at the plate, the pitcher throws you General Motors at 47! U.S. Steel at 39! and nobody calls a strike on you. There's no penalty except opportunity lost. All day you wait for the pitch you like; then when the fielders are asleep, you step up and hit it". -Warren Buffett

Thursday, 17 September 2015

iCapital Close End Fund: The Winners and the Losers over the last 10 years

This fund has done reasonably well since inception.  Its NAV has grown from RM1.00 in 2005 to the present NAV of RM 2.80 on 17.9.2015 (CAGR of 10.8%).

Its market price is RM 2.24 on 17.9.2015, giving a CAGR of 8.4% over the last 10 years.





Who are the winners?

1.  Those who have been holding the funds since inception.  They are the winners.
2.  Those who bought in 2008 and 2009, they are winners.  They would have bought icap close end fund at a low price.
3.  Yes, the fund manager has been a big winner in this fund.  This is to be expected as managing fund is a highly lucrative business indeed.




Who are the losers?

1.  Those who bought into icap at the time of over-enthusiasm, when icap was trading at a huge premium.  Those who bought into icap in 2007 and who did not hold the stocks till today were more likely to be losers.
2.  Those who bought the stock in the last 3 years.  They would have lost due to non-performance or poor performance of the fund over this period.   They would have enjoyed a better return from investing into their risk free FDs.
.


As for foreign investors who bought into the fund over the last few years, are they winners or losers?

Taking into consideration, the loss of value of the ringgit in relation to the US and the UK currency,  they may not be winners either.



Probably more shareholders burnt than benefited.

Peter Lynch delivered great returns while managing the Magellan fund for 13 years.  Yet, when he analysed the returns to the shareholders, the majority lost money!  Similarly, I am of the opinion, even today, the majority of shareholders who had bought and sold icapital close end fund were losers.   The winners are probably a minority who bought in the early years especially the initial investors into the fund at the time of launch, and who have hold onto the stocks till today.



The Fund Manager should stay focus.

Over the recent years, the fund manager of icap close end fund has been extensively involved in expansion into new funds and new geographical territory.   His activities appear to target growing his assets under management by his company.   His involvement in Investors Days, though commendable, is of doubtful benefit to the core shareholders of icap closed end fund.

As for hard core shareholders of icap closed end fund, their single focus is on the performance of the fund.  In particular, can the fund deliver >15% compound annual return over the long term.  Hopefully, by the year 2020, the year of reckoning, when the fund would have existed for a long period of 15 years and have been through a few up and down cycles, we can make a more objective assessment of the ability of the fund manager.

It is expected that most funds would just perform about the market return or slightly lower than the market return.  Will icap close end fund be able to deliver returns much higher than this?  Will icap close end fund be able to beat the returns of Buffett's during his earlier years of his involvement in stocks?



















*Special Dividend of 9.5 sen per share less Income Tax of 25% for the financial year ended 31 May 2013 is deducted from NAV.





















Local Index Warrant: Calculation of Settlement Price

The method of calculation of settlement price differs for stock warrants, index warrants and other types of warrants.


Local Index Warrants

The settlement level of an Index Warrant is the final settlement price of the index.



Settlement level of an Index Call Warrant:

Index Call Warrant = (Settlement Level - Strike Price) / Conversion Ratio

For example, the key terms of a XYZ Call Warrant are as below:

Underlying   XYZ Index (XYZ)
Warrant Type   Call
Strike Price  2,300
Maturity Date 29.12. 2016
Conversion Ratio 200

The settlement level of this warrant will be the final settlement price of the XYZ Dec 2016 Futures Contract on 29 Dec 2016.

If the settlement level of the XYZ is 2,500, then the settlement amount of this warrant will be:

= (2,500 - 2,300) / 200
= $ 1.00 per unit


Settlement level of an Index Put Warrant

Index Put Warrant = (Strike Price - Settlement Price) / Conversion Ratio

For example, the key terms of a XYZ Put Warrant are as below:

Underlying   XYZ Index (XYZ)
Warrant Type  Put
Strike Price  2,200
Maturity Date  29 Dec 2016
Conversion Ratio 200

The settlement level of this warrant will be the final settlement price of the XYZ Dec 2016 Futures Contract on 29 Dec 2016.

If the settlement level of the XYZ is 1,900, then the settlement amount of the above warrant will be:

= (2,200 - 1,900) / 200
= $ 1.50 per unit.

Wednesday, 16 September 2015

Decoding a Warrant Name

Warrant Name
Underlying
Strike Price
Issuer
Warrant Type:  European or American
Warrant Class:  Call Warrant or Put Warrant
Expiry Date


Other Terms
Warrant Price
In the Money/At the Money/Out of the Money (Strike Price > or = or < Underlying Price)
Maturity: Short Term < 3 mths, Medium Term 3 to 6 mths, Long Term > 6 mths
Underlying Price
Days to Maturity
Implied Volatility
Interest Rates
Dividend
Historical Volatility
Conversion Ratio
Turnover
Outstanding Quantity
Premium:  positive, negative (discount), shrinking
Effective Gearing
Gearing
Delta
Vega, Gamma, Rho
Tick value
Face value
Bid/Ask Spread
Settlement Price

Stock Warrants:  Stock Put, Stock Call
Local Index Warrants:  Index Call Warrant, Index Put Warrant
Foreign Index Warrants:  Call or Put
Currency Warrants

Last Trading Day
Expiry Date
Payout Date




Option Pricing for Beginners


Option Pricing for Beginners

For a complete list of Beginners articles, see Financial Crisis for Beginners.
I’ve had two posts so far on the terms under which Treasury sold back to Old National the warrants on Old National stock that Treasury got in exchange for its TARP investment, so I thought it was time for an introduction to warrant/option pricing.
The warrants received by Treasury give Treasury the right to buy common stock in the issuing bank under predefined terms. Buying the stock is calledexercising the warrant. The warrant specifies how many shares Treasury can buy; the price that it must pay to buy them (the exercise price); and the term of the warrant, meaning how long Treasury has to decide whether or not it wants to exercise the warrant. If Treasury never exercises the warrant, then it expires and nothing happens. For our purposes, a warrant is the same as a call option; there are some differences I will ignore, which are outlined here.
Warrant terms
These warrants were part of the terms of the TARP Capital Purchase Program, which is what Treasury used to recapitalize banks last fall, starting in October. The warrants have value for Treasury – how much, I’ll get into later. Therefore, they make it possible for Treasury to be more generous with other terms of the transaction. Arguably, the warrants helped compensate for the fact that Treasury was buying preferred stock with a very low dividend yield – only 5%. There is no way that most banks would have been able to issue new preferred stock with only 5% dividends back in October-November. Probably the more important reason the warrants were mixed in was that they made it easier to justify the transaction politically; through the warrants, the taxpayer could “participate in the upside” if things went well, because if the stock price went up, the warrants would become more valuable.
As part of the Capital Purchase Program, banks had to give Treasury warrants on common stock equal in value to 15% of the amount of money invested. Treasury invested $100 million in Old National, so it needed warrants on $15 million worth of common stock. So it got warrants to buy 813,008 shares at an exercise price of $18.45; 813,008 * 18.45 = 15 million, or something very close to it. $18.45 represented the value of the common shares at the time of the investment. The idea is that the warrants were supposed to be “at the money;” if the stock went up, Treasury could exercise the warrants and make money; but if it went down, Treasury would get nothing (at least not from exercising the warrants). 
Actually, that isn’t quite accurate, for two reasons. First, according to the original term sheet, the exercise price was set not at the share price on the investment date itself, but as the average of the closing price for the twenty previous trading days; the idea here, which is common, is to protect both sides against day-to-day swings in stock prices. In Old National’s case, that would have been $16.35. However, in early April the Wall Street Journal reported that Treasury changed the terms to base the exercise price on the date that the bank’s application to participate in the CPP was approved, which was an earlier date. Because November-December was a period of falling bank stock prices, in the large majority of cases the change in dating had the effect of increasing the exercise price of the warrants, thereby reducing the value of the warrants to Treasury (because it would have to pay more for each share). In Old National’s case, it produced an exercise price of $18.45 instead of $16.35.
(Ilya Podolyako actually drafted a post about this at the time, but I chose not to publish it because I didn’t want to be hammering Treasury for every little thing they did that helped the banks. But I think it’s an important part of this story. Ilya also pointed out that when private companies do this kind of thing – setting the exercise price based on market prices in the past – it’s called backdating, and it’s illegal. My apologies to Ilya for not publishing the post then.)
Those warrants have a term of 10 years, meaning that Treasury has until 2018 to decide whether or not to exercise them. They also have an unusual “Reduction” feature, which says that if the bank raises more money than Treasury invested by the end of 2009, through sales of new common or perpetual preferred stock, half of the warrants will instantly evaporate. 
Warrant pricing
So how much are these things worth? On the date of the sale, Old National’s common shares were trading at $14.70 – $3.75 below the exercise price of the warrants. So if Treasury had done the crazy thing and exercised the warrants, it would have paid $18.45 for a share of stock worth $14.70, for a total loss of about $3 million.
However, the warrants themselves, like all options, always have some positive value, as long the term has not expired. You never have to exercise the warrants, so in no scenario will you be forced to lose money on them; and there is always some chance that the stock price will go above the exercise price, at which point you could exercise them and make money. The question is how much.
Conceptually speaking, you are trying to figure out the chances that the stock will someday be worth more than $18.45, times the profit you will make from exercising the warrants at that point. This clearly depends on the following parameters:
  • Exercise price: The higher the exercise price, the less likely your warrant is to make you money.
  • Current stock price: The higher the current price, the more likely you are to make money.
  • Time to maturity: The more time you have, the higher the chances that the stock price will climb above the exercise price.
And it depends on one more parameter: volatility or, roughly speaking, the tendency of the stock price to move up and down. In the case of Old National, the stock price has to go up by $3.75 (25.5%) before the warrant can be exercised at a profit; the more volatile the stock, the more likely this is.
Making some additional assumptions, like zero transaction costs and zero dividends, Fischer Black and Myron Scholes worked out a formula to calculate the value of an option from these parameters (and the risk-free interest rate, since you are looking at the future and money loses value over time), which is now known as the Black-Scholes formula, and has been described as the central pillar, for better or worse, of modern finance. (Nassim Taleb strongly disagrees.) I think I had to derive the formula in a micro class a long time ago, but my memory of that year is a bit fuzzy, perhaps because I met my wife in that class.
In any case, the formula incorporates this useful intuition: To calculate the value of an option, you only need to know the expected value of exercise on the maturity date. This is because, theoretically, that is the only day on which you should ever exercise an option. Even if your option is $10 “in the money” (market price exceeds exercise price by $10), there is always a little bit of extra option value, because the potential upside is infinite, and the potential downside is bounded by $10. 
Note that the formula says you can price an option without even having an opinion about the fundamental value of the underlying stock – all you need are its current price and its volatility. This is consistent with a general (though not necessarily correct) principle that stock markets always efficiently price assets, so any opinion you may have about the stock’s fundamental value is foolish.
Also note that the key assumption in the formula is that stock prices will move randomly with constant volatility, and the key parameter in the formula is volatility. The other inputs are basically observable (though not quite in the case of the risk-free rate), but volatility is not. You need to know the volatility of the stock price between now and the maturity date, but all you can see is its volatility in the past. This makes option pricing especially difficult right now, because stock price volatility has been much higher over the last eight months than over the previous eight years. (The chart is the implied volatility of the S&P 500 since 2000.)
VIX
So if you use the volatility over the last eight months, you will get a much higher warrant value than if you use the volatility over the last eight years. More fundamentally, using any volatility assumption based on past data falls into the trap of assuming that the future will be like the past. This is never a foolproof assumption, and the longer the timeframe you are looking at, the worse the assumption becomes. It usually may not matter a lot for typical short-dated options (30 days, 60 days, etc.) – unless the world changes during those 30 days – but it matters a lot for long-dated warrants, like the 10-year warrants that Treasury got.
Real stocks also pay dividends, and the higher the future dividends, the less your warrant will be worth – because those dividends essentially come out of the future stock price. So your formula has to have some estimate of what dividend payouts will be. Again, this is especially hard right now, because many banks – including Old National – have drastically cut their dividends recently, and it’s difficult to predict when they will go back to paying higher dividends. 
Finally, the “Reduction” feature of the TARP warrants throws another wrench into the works. To value the warrants, you have to take into account the fact that half of them could vanish if Old National raises $100 million by issuing stock before the end of the year; and as long as the warrants were outstanding, they had an incentive to raise that money. That involves making guesses about the overall funding climate, and the corporate strategy of Old National, neither of which can be statistically estimated.
So now you should know enough to understand the three key assumptions behind the estimates in Linus Wilson’s paper. (However, the Bloomberg story does not provide its option pricing assumptions.) You should also be able to follow the discussion over assumptions between q and Sandrew in the comments to my previous post, beginning here.
What should Treasury have done?
q, a regular commenter here, concludes that the price Treasury got is within the range of reasonableness, given his preferred set of assumptions. However, he also says (agreeing with Nemo) that Treasury should not have negotiated a sale to Old National, but should have simply held onto them until maturity (remember, you don’t want to exercise them early); if the real issue was restrictions placed on TARP money, the government could have rolled them back (for banks that bought back their preferred shares). Or, if Treasury didn’t want to hold onto them, they could have auctioned them off.
While these are economically superior to simply negotiating a sale in a market with a single potential buyer (Old National), it gets us into the complicated world of TARP terms and conditions. First, the original term sheet said that Treasury could not sell more than 50% of the warrants before the end of 2009, because, remember, 50% of the warrants would vanish if the bank made a qualifying equity offering. Still, Treasury could have sold half and then held the rest; this would have had the salutary effect of giving Old National an incentive to raise new capital.
Second, assuming Treasury did not sell the warrants, when Old National bought back its preferred shares, it got the right to buy back the warrants at “fair market value” – but there is no market. (You can get a quote on short-dated options, but not long-dated ones – these are typically over-the-counter.) I haven’t found the implementation rules, but an article in Fortune said this:
February’s stimulus legislation – which gave TARP recipients the right to repay funds without raising new capital or observing any waiting period – specified that Treasury must liquidate a bank’s warrants at the current market price after it repays its TARP preferred stock.
    I gather from bits and pieces I remember reading that there is some sort of appraisal process where the bank and Treasury first try to agree on a value, and I believe if that fails then there is supposed to be an auction. Auction participants would know all about option pricing, of course, and would apply a range of assumptions; presumably the sale would go to the buyer with the highest volatility assumption, which would probably (but not certainly)  yield a higher price than Treasury got. 
    Of course, the banks have their opinion about all this (from the same Fortune article):
    The American Bankers Association trade group last week sent Treasury Secretary Tim Geithner a letter calling for the government to eliminate the warrant-repayment provision altogether. The ABA said repurchasing the warrants amounts to an “onerous exit fee” for banks that have already repaid in full the funds they got from Treasury. . . .
    Treasury must attempt to liquidate the warrant, the stimulus legislation says. But the ABA decries this as well, saying in its letter that selling the warrant to a third party could unfairly dilute a bank’s shareholders.
    In other words, Treasury should just rip up the warrants – even though the warrants were one reason why the banks got investments on such generous terms in the first place. How times have changed since last fall.
    By James Kwak

    http://baselinescenario.com/2009/05/22/option-pricing-for-beginners/

    Warrants: Premium

    Premium is a measure of how much the underlying price has to move for the warrant to break even if it is held until maturity.

    The premium for a call warrant

    = [Strike Price + (Warrant Price x Conversion Ratio) - Underlying Price] x 100% / Underlying Price


    (1)  Cost of buying a warrant = Warrant Price x Conversion Ratio
    (2)  Breakeven point of the warrant = Strike Price  + Cost of component
    (3)  Premium = [(Breakeven point of warrant - Underlying Price ) / Underlying Price]  x 100%


    In this formula, we first calculate the difference between the breakeven point and the underlying price and then divided it by the underlying price to find out the premium as a percentage.


    Likewise, the premium for a put warrant 

    = {Underlying Price - [Strike Price - (Warrant Price x Conversion Ratio)]} x 100% / Underlying Price


    For example:

    Company ABC Call Warrant currently trading at $0.54, with a strike price of $12 and a conversion ratio of 5:1.  If the underlying price is $14, how much is the premium?

    Cost of buying the warrant = $0.54 x 5 = $2.70
    Breakeven point = Strike Price + Cost = $12 + $2.70 = $14.70
    Underlying price = $14.00
    Difference between Underlying price and Breakeven point = $14.70 - $14,00 = $0.70
    Premium = ($0.70/$14.00) x 100%  = 5%.

    In other words, if the investor intends to hold the warrant until maturity, it takes a 5% increase in the underlying price from its current level of $14 to breakeven.

    In this example, what we have is an out-of-the-money (OTM) warrant, and the underlying must make a bigger climb to reach the breakeven point.

    In the case of an in-the-money (ITM) warrant, a modest increase in the underlying price would be enough.




    Summary:

    Step 1:   First, calculate the breakeven point of the warrant. This is done by using the formula:  [(price of warrant x conversion ratio) + strike price]

    Step 2:  Work out the difference between the breakeven point and underlying price and divide this by the underlying price to get the premium in percentages.



    The premium only measures the percentage increase in the underlying price that will allow the warrant investor to break even upon maturity.

    It does not tell us whether the price of a warrant is too high or too low.

    Hence, unless you are prepared to hold the warrant until maturity, premium is not a relevant indicator for you.




    Tuesday, 15 September 2015

    Warrants: Option Pricing Model



















































    An example:










    Warrants: Turnover versus Outstanding Quantity

    Turnover is the total units of a warrant bought and sold on a day.

    Outstanding quantity refers to the accumulated units, or the accumulated overnight positions, held by investors (other than the issuer) at the close of trading.

    Outstanding percentage is the portion held by investors of the total units of the warrant in issue.



    Various scenarios and interpretations of the market.

    Day Trader >>> Overnight Traders  -  Turnover >>> Outstanding quantity

    On a trading day when the market is dominated by day trade investors rather than overnight traders, the turnover can be way above the increase in outstanding quantity.


    All new positions held overnight - Turnover = Increase in outstanding quantity 

    In contrast, if all the new positions of the day are held overnight, the increase in outstanding quantity will be equal to the turnover.


    Day trade market - High turnover + Flat outstanding quantity

    Normally, when a high turnover meets a flat outstanding quantity, what we have is a day trade market.
    This may be a sign of a lack of confidence in the outlook for the warrant.


    Market dominated by sell orders - High turnover + Fall in outstanding quantity

    When a high turnover meets a fall in outstanding quantity, then the market is dominated by sell orders.
    This may mean that the holders of a call warrant are selling on expectation that the underlying is topping out (or bottoming up in the case of a put warrant).


    Players are upbeat about the market outlook - High turnover + Increase in outstanding quantity

    When a high turnover meets an increase in outstanding quantity, the investors here are probably long-term players who are rather upbeat about the market outlook.

    Saturday, 12 September 2015

    Warrants: Historical Volatility

    Historical volatility reflects the historical price of a stock within a given period of time.

    If Stock A is trading at $10 with a volatility of 10%, then based on the theories of statistics, there is

    -  68% of the time that the stock will be trading within the range of $9 to $11 ($10 +/- 1 S.D.),
    -  95% of the time within the range of $8 to $12  ($10 +/- 2 S.D.)and
    -  99.7% of the time within the range of $7 to $13  ($10 +/- 3 S.D.).

    In other words, the higher the historical volatility of the underlying, the higher the level of its future volatility will be in a given period of time.


    For the investors
    Investors can use historical volatility to predict the future volatility and price direction in order to formulate their investment strategies.

    For the issuer
    For the issuer, historical volatility is one of the factors they need to take into account in determining the price of a warrant.
    Where the historical volatility of its underlying is high, a warrant is likely to be issued at a higher price. However, past performance may not indicate future trends.
    Hence, in the pricing process, an issuer will alos find out what the markte expects of the future volatility of the underlying, that is what we call the "implied volatility" of the warrant.


    Warrants: Implied Volatility and Warrant Price

    Apart from the underlying price, the most important factor that affects the price of a warrant is implied volatility.

    It is the expected volatility of the underlying in a given future period of time and is positively related to the warrant price.

    When the implied volatility of a warrant increases, its price may go up.

    When the implied volatility decreases, the warrant price may go down.




    An example:

    Stock A is currently trading at $10.  The market expects that the range of fluctuations of the stock will be within $1 for most of the time in the future.

    Stock B is currently trading at $10, and the market expects that its range of fluctuations will be within $5 for most of the time in the future.

    What is the probability that stock A will climb to $20 within 6 months?

    Which one, between Stock A and Stock B, will have a better chance of hitting $20 in 6 months?

    Obviously, the answer is Stock B.


    If for some reasons, the market expects a drop in the volatility of  stock B (say from $10 to $1 in terms of the range of fluctuations) in a given period of time, then the price of a related warrant may go down as well.

    This is due to the lower probability that the price of Stock B will exceed the strike price of the warrant upon maturity.

    Hence, there is less chance for the warrant to be exercised upon maturity, and the investor will also have a less chance to get a higher return.  As a result, the warrant price is likely to fall.


    American Warrants versus European Warrants

    Warrants can be divided into American or European types, based on the way they are exercised.

    American Warrant - Holder can exercise the right to buy (or sell) the underlying at any time between the listing date and the expiry date.

    European Warrant - Holder can exercise the same right only at maturity.



    American Warrant

    American Warrants can be exercised at any time between the listing date and the expiry date.

    They seem to be more flexible.  However, in practice, few investors choose to exercise their warrants and hence, this feature does not matter much.

    It is often more beneficial to sell the warrant back to the market before expiry rather than holding it until the date to exercise (the issue of "time decay").


    European Warrant

    European Warrants are settled by cash rather than physical delivery.

    This means that if the warrants are in the money, the issuer will calculate and pay the difference between the settlement price of the underlying and the strike price of the warrant.

    Cash settled warrants are automatically exercised, there is no need for the issuer to serve any notice of exercise.


    Friday, 11 September 2015

    Warrants: Conversion Ratio

    The conversion ratio determines the number of warrants required for conversion into one share of the underlying stock or one point of the underlying index at maturity.

    For example, where the conversion ratio is 10:1, 10 units of warrants will be required to be exchanged for each share of the underlying stock.

    Even for warrants with identical terms (same strike price, maturity and implied volatility), their prices may vary hugely.

    These warrants are worth exactly the same.  Their prices vary in proportion to the difference in their conversion ratios.

    The price of one may be a few cents while the other a few dollars.  This is due to their conversion ratios.

    The bigger the conversion ratio, the lower the warrant price.



    Conversion Ratio is Insignificant as a performance indicator

    Psychologically, investors tend to prefer warrants with a lower face value.

    After all, warrants of different price ranges do differ in tick movement.

    In theory, the difference in the conversion ratio will not affect the price performance of warrants.

    When you are picking a warrant, do not be bothered with insignificant data such as the conversion ratio or premium.  

    Unless you want to hold the warrant until maturity, these data should not be a matter of concern.

    Rather, to make sure that you are picking the right choice, you should check out carefully the other terms of the warrant, such as implied volatility and effective gearing.

    (In calculating the value at maturity and the effective gearing of a warrant at any time, the conversion ratio is always taken into account.)




    Technical Parameters of Warrants: Vega, Gamma and Rho

    Vega

    Vega measures the rate of change in the warrant price for each point of movement of its implied volatility.

    No matter it is a call warrant or a put warrant, vega is always positive, indicating that the warrant price and its implied volatility always move in the same direction.

    Vega can be an absolute value or a percentage relative to the warrant price.


    Gamma

    Gamma measures the sensitivity of the delta of a warrant to the price movements of its underlying.

    The higher the gamma, the bigger the change in delta will be in reaction to a movement in the underlying price.

    Gamma = Rate of Change of Delta / Rate of Change of Underlying Price

    No matter it is a call warrant or put warrant, gamma is always positive.



    Rho

    Rho measures the sensitivity of warrant price to changes in the market interest rate.

    Call warrants have a positive rho, meaning that the price of a call warrant moves in the same direction as the market interest rate.

    In contrast, put warrants have a negative rho, and this shows that the price of a put warrant moves in the opposite direction to the market interest rate.

    Given that changes in interest rates tend to be limited in the short term, their effect on warrant prices is minimal.