Showing posts with label asset allocation. Show all posts
Showing posts with label asset allocation. Show all posts

Saturday, 13 December 2025

Most of your portfolio’s performance depends on this mix, not picking individual stocks. Pick a stocks/bonds mix that lets you sleep at night while still growing your money over time.

 


Simple Guide for Investors

1. Start with your mix of stocks and bonds

  • Stocks = higher growth, higher risk

  • Bonds = lower growth, lower risk

  • Most of your portfolio’s performance depends on this mix, not picking individual stocks.

2. Choose your ratio based on two things:

  • How much risk you can stomach – don’t panic-sell in downturns

  • How much growth you need – to beat inflation and reach your goals

3. Use time to your advantage

  • Stocks can be rocky short-term but grow well over 10+ years

  • The longer your timeline, the more stocks you can consider

4. A simple example:

  • Conservative: 60% bonds, 40% stocks

  • Balanced: 50% bonds, 50% stocks

  • Growth-oriented: 30% bonds, 70% stocks

5. Stick to your plan

  • Once you choose your mix, keep it – rebalance once a year

  • Don’t chase hot trends or sell in panic

Bottom line:
Pick a stocks/bonds mix that lets you sleep at night while still growing your money over time. Start simple, stay steady, and let time work for you.


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This is an informative excerpt on portfolio construction and the risk-return trade-off between stocks and bonds. Below is a detailed analysis, discussion, and commentary based on the provided content.


1. Key Takeaways from the Text

A. Asset Allocation Dominates Performance

  • Studies show that 77–94% of portfolio return variability is due to asset allocation.

  • This underscores the importance of strategic asset allocation over stock picking or market timing.

B. Stocks and Bonds as Core Building Blocks

  • Stocks and bonds are lowly correlated asset classes.

  • Adjusting the stocks/bonds mix is a fundamental way to control portfolio risk.

C. Historical Risk-Return Trade-off

  • The chart referenced (1880–2004) shows:

    • 100% bonds: lower return, lower volatility.

    • Increasing stock allocation: higher return but higher standard deviation.

    • 80% bonds / 20% stocks appears on the chart as a midpoint between risk and return.

D. Risk Tolerance vs. Required Risk

  • Investors must balance:

    1. Risk tolerance (emotional/psychological capacity to endure losses).

    2. Required risk (level of risk needed to meet financial goals and beat inflation).

  • Time horizon matters: stocks are volatile short-term but historically positive over long periods (e.g., 25 years).


2. Discussion Points

A. Is the Stock/Bond Model Still Valid?

  • The data ends in 2004. Since then, we’ve had:

    • The 2008 financial crisis.

    • Extended low-interest-rate environments.

    • Rising bond-stock correlation at times (e.g., 2022).

  • Question: Does the traditional negative correlation still hold in all market regimes?

B. Inflation Considerations

  • The text mentions needing to “outrun inflation.”

  • In high-inflation regimes (like 2021–2023), both stocks and bonds can suffer.

  • TIPS, commodities, real assets may need to be part of the modern allocation.

C. The “Worst 25-Year Period” Argument

  • The text says the worst 25-year period (1950–2005) returned +7.9% annually for stocks.

  • This is a powerful argument for long-term equity investing.

  • However, it’s based on US data – survivorship bias? Would other countries show the same?

D. Behavioral Risks

  • Even with a “rational” asset allocation, investors may panic-sell in downturns.

  • Solution: Education, automated rebalancing, and using target-date or risk-rated funds.


3. Commentary & Critique

Strengths of the Presented View

  1. Evidence-based: Uses long-term historical data.

  2. Simple & actionable: Easy for investors to grasp stocks/bonds mix.

  3. Highlights time horizon: Crucial for matching investments to goals.

Potential Shortcomings

  1. Outdated data: Post-2008 monetary policy may have altered risk premiums.

  2. Non-US diversification ignored: No mention of international stocks/bonds.

  3. Ignores other assets: Real estate, gold, alternatives not considered.

  4. Static allocation assumption: Doesn’t discuss dynamic/tactical shifts or lifecycle investing.


4. Practical Implications for Investors

  1. Start with asset allocation — it’s more important than individual security selection.

  2. Use stocks for growth, bonds for stability — but adjust ratio based on:

    • Age/time horizon

    • Risk capacity (not just tolerance)

    • Market valuations (CAPE, yield curves)

  3. Rebalance regularly to maintain target allocation.

  4. Consider global diversification beyond S&P 500 and Treasuries.

  5. Review periodically — required risk changes with life stage and goal proximity.


5. Conclusion

The passage provides a solid foundational lesson in portfolio theory:

Asset allocation is key, stocks and bonds are the core, and risk should match both your personality and your goals.

However, modern portfolios may require more nuanced building blocks and global perspectives to achieve similar efficiency in today’s interconnected, low-yield, and inflation-sensitive world.

For a beginner investor, this is an excellent starting point.
For an advanced investor, this should be the foundation upon which more sophisticated diversification is built.


Final thought: The most important line in the text may be:

“You need to be able to keep your asset allocation in both good years and bad years.”
Discipline often matters more than the precise percentage in stocks vs. bonds.

Risk-return trade-off between bonds and stocks

 












Here’s a simple summary to guide an investor based on the chart:


🧭 Key Takeaways for Investors

  1. Don’t go 100% bonds
    Even a small amount of stocks (like 20–40%) can give you higher returns with the same level of risk as an all-bond portfolio.

  2. The sweet spot is in the middle
    Historically, a mix of 40% stocks / 60% bonds offered about 2% more annual return than 100% bonds, without taking more risk.

  3. 100% stocks isn’t always worth it
    Going from mostly stocks to 100% stocks adds a lot more risk but very little extra return — so think twice before going all-in on stocks.

  4. Diversify to do better
    Blending stocks and bonds has improved returns while controlling risk — that’s the power of diversification.


✅ Simple Rule of Thumb

  • If you’re conservative: Consider at least 20–40% in stocks to boost returns without much extra risk.

  • If you’re moderate: A 40–60% stock allocation has historically balanced risk and return well.

  • If you’re aggressive: Going above 80% stocks may not reward you enough for the extra risk you’re taking.

Remember: This is based on past performance (1980–2004) — but the idea that a balanced portfolio usually works better than extremes still holds true today.


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This chart and its accompanying text illustrate a classic risk-return trade-off between bonds and stocks over the period 1980–2004, using two benchmarks:

  • Stocks: S&P 500 index

  • Bonds: A mix of 80% five-year Treasury notes and 40% long-term Treasury bonds (note: this sums to 120%, possibly a typo in the original description—likely meant to be a different split, e.g., 50% each or similar).


Key Observations from the Chart:

  1. Efficient Frontier Shape
    The curve is upward sloping but not linear. It shows that as you increase stock allocation:

    • Return increases

    • Risk (standard deviation) increases

    • But the marginal return per unit of risk decreases at higher stock allocations.

  2. Notable Portfolios

    • 100% Bonds: Lowest return (~9%) and lowest risk (~9% standard deviation).

    • 40% Stocks / 60% Bonds: Same risk as 100% bonds (~9% standard deviation) but ~2% higher average annual return (~11% vs ~9%).
      → This is a striking example of diversification benefit: adding some stocks reduced risk-adjusted return significantly.

    • 100% Stocks: Highest return (~14%) but highest risk (~17% standard deviation).

  3. Flattening Curve at High Stock Allocations
    As you approach 100% stocks, the curve becomes flatter. This means:

    • Taking on much more risk for only a small gain in return.

    • For example, moving from 80% stocks to 100% stocks increases risk noticeably but adds little extra return.


Implications for Portfolio Construction:

  • Optimal Range: The most “efficient” portfolios seem to lie between 20% stocks and 60% stocks, where each unit of risk yields meaningful additional return.

  • Why Few Portfolios Have >60% Bonds:
    The 40/60 stock/bond mix offers same risk as 100% bonds but higher return—making very high bond allocations inefficient unless the investor is extremely risk-averse.

  • Diminishing Returns to Risk:
    At high equity allocations, additional risk may not be worth the small incremental return—important for aggressive investors to consider.


Limitations & Considerations:

  • Time Period Specific: 1980–2004 included a long bull market in bonds (falling interest rates) and strong equity performance. Results may differ in other periods (e.g., rising rate environments).

  • Bond Portfolio Composition: The bond mix described seems unusual (120% total). This might be an error; normally it would be something like 50% five-year Treasuries and 50% long-term Treasuries, or similar.

  • No Other Assets: The chart only compares stocks vs. U.S. Treasuries. Adding corporate bonds, international stocks, or other assets could shift the efficient frontier.

  • Inflation Not Adjusted: Returns are nominal, not real.


Conclusion:

The chart effectively demonstrates:

  1. Diversification improves risk-adjusted returns—adding some stocks to a bond portfolio can boost return without increasing risk, up to a point.

  2. There’s an optimal balance—in this historical window, it was around 40–60% stocks for many investors.

  3. Going all-in on stocks gives diminishing extra return for much higher risk—a reminder that extreme allocations may not be efficient.

This supports common asset allocation advice: moderate stock exposure (e.g., 40–70%) often provides the best trade-off for long-term investors, unless they have very low or very high risk tolerance.


Wednesday, 19 November 2025

Asset Allocation

Asset Allocation.

Elaboration of Section 3

This section introduces one of the most critical, yet often overlooked, concepts in investing: Asset Allocation. It makes the powerful argument that your overall investment success is determined less by your individual stock picks and more by the fundamental decision of how you divide your money among major asset classes.

The core argument is broken down as follows:

1. The Paramount Importance of Asset Allocation
The section opens with a striking claim backed by financial studies: 90-95% of a portfolio's long-term success can be attributed to its asset allocation, while only 5-10% comes from individual security selection and market timing.

  • Why this is true: This statistic highlights that the type of assets you own (stocks, bonds, cash) is far more important than which specific stocks or bonds you own. A well-allocated portfolio of average funds will almost always outperform a poorly-allocated portfolio of "star" stocks over the long run. It is the primary tool for controlling risk and return.

2. The Five Key Factors for Asset Allocation
The section wisely links back to the self-knowledge theme of Section 2, stating that your asset allocation is not a random choice but must be derived from your personal circumstances. The five factors are:

  1. Your Investment Goal: (From Section 2). Are you seeking growth, income, or preservation? This dictates the mix (e.g., growth requires more stocks).

  2. Your Time Horizon: (From Section 2). A long horizon allows for a higher stock allocation to weather volatility.

  3. Your Risk Tolerance: (From Section 2). This acts as a psychological check on the time-horizon-based allocation. Even with a long horizon, a nervous investor should have a more conservative allocation.

  4. Your Financial Resources: The amount of money you have to invest influences your strategy. A small investor might achieve diversification through a single mutual fund, while a larger investor can build a diversified portfolio of individual stocks.

  5. Your Investment Mix (The Allocation Itself): This is the final decision on what percentage to put in each asset class (stocks, bonds, cash).

3. The Historical Performance Context
The section provides the historical rationale for including different assets:

  • Stocks (Equities): Have historically provided the highest returns (cited at ~11.3% for large companies) but with the highest volatility.

  • Bonds (Fixed Income): Provide lower returns (cited at ~5.1%) but with much lower volatility and regular income.

  • Cash (e.g., Savings Accounts): Offers the lowest returns (cited at ~3%) and the highest safety of principal, but is almost guaranteed to lose purchasing power to inflation over time.

4. The Powerful, Counter-Intuitive Insight
The most valuable part of this section is the chart and the explanation that follows. It demonstrates a non-linear relationship between risk and return when you start mixing assets.

  • The Chart's Lesson: The chart shows that a portfolio of 100% bonds is actually riskier than a portfolio of 80% bonds and 20% stocks. Even more astonishingly, the 80/20 portfolio also provides a higher potential return.

  • Why this happens: Adding a small amount of a volatile but higher-returning asset (stocks) to a very safe but low-returning asset (bonds) boosts the portfolio's return without proportionally increasing its risk. The two asset classes do not move in perfect sync, so they smooth out each other's volatility. This is the fundamental benefit of diversification across asset classes.

5. The Practical Implication: Finding Your "Sweet Spot"
The section implies that every investor has an optimal asset allocation "sweet spot" on the risk-return curve. For most, being 100% in any single asset class (stocks, bonds, or cash) is sub-optimal. The goal is to find the mix that provides the highest possible return for a level of risk you are comfortable with.


Summary of Section 3

Section 3 establishes Asset Allocation—the strategic division of your portfolio among stocks, bonds, and cash—as the single most important decision an investor makes, accounting for over 90% of long-term portfolio performance.

  • It argues that your broad investment mix is far more critical than picking individual winning stocks.

  • Your ideal allocation is determined by a personal synthesis of your investment goal, time horizon, risk tolerance, and financial resources.

  • A key, counter-intuitive insight is that adding a small portion of stocks (a volatile asset) to a bond-heavy portfolio can simultaneously increase potential returns and decrease risk, demonstrating the profound power of diversification.Acally managing risk.

How to invest $200,000?

An interesting assignment – how to invest $200,000?

Elaboration of Section 16

This section presents a practical case study that forces the application of all the principles discussed in the previous sections. It's the "rubber meets the road" moment, where theoretical philosophy must be translated into a concrete investment plan.

The scenario is built around a specific investor profile:

  • Capital: $200,000 (or RM200,000)

  • Investor: A 60-year-old with a high-risk tolerance.

  • Financial Capacity: This is spare cash not needed for 5-10 years.

  • Investing Objective: Safety of capital first, then growth of 15% per year (doubling capital every 5 years).

The section systematically builds the investment strategy:

1. Assessing the Market Context
The analysis begins with a macro-assessment, a key step for an enterprising investor:

  • Overall Market Valuation: The KLSE's market P/E of 17-18 is noted as being on the "higher side of the normal range." This immediately signals caution and suggests that bargains will be harder to find.

  • The Investor's Edge: The crucial point is made that you are investing in individual stocks, not the overall market. Even in an expensive market, there can be undervalued companies.

2. Revisiting Graham's Policy for Guidance
The section refers back to the foundational Section 1:

  • For a Defensive Investor, the answer is simple: put the money into FDs and blue-chip stocks bought at reasonable prices. This would likely yield the market average of ~10%, but not the desired 15%.

  • For an Enterprising Investor like Casey, the path is Policy C: investing chiefly for profit through growth stocks and value investing. This requires "intelligent effort."

3. The Philosophy for Achieving 15% Returns
The section outlines the demanding philosophy required for high returns:

  • Focus on Quality Growth: The strategy hinges on finding "good quality growth stocks." This means companies that are not just cheap, but are fundamentally excellent and expanding.

  • The Hard Work of Analysis: It emphasizes the "hard work" of the enterprising investor: analyzing 5-10 years of financial data to find companies with consistent revenue and EPS growth >15%, high and maintained profit margins, high return on equity (>15%), and manageable debt.

  • The QMV Filter (Quality & Management FIRST): The process is sequential. A company must first pass the stringent tests of Quality (durable competitive advantage, consistent growth) and Management (integrity, skill) before its Valuation is even considered.

4. The Role of Patience and Market Psychology
A critical insight is that wonderful companies are rarely cheap. Therefore, the investor must be patient and wait for the right opportunity, which often arises from:

  • Negative Market Sentiment: When the market pessimistically prices a great company due to short-term, solvable problems.

  • Stock-Specific Issues: Temporary problems that do not damage the company's long-term "moat."
    This requires the discipline to wait for a price that provides a sufficient Margin of Safety.

5. Portfolio Construction
The strategy concludes with a practical portfolio structure:

  • Number of Stocks: A concentrated portfolio of 7 to 10 stocks is suggested. This provides diversification (as per Section 11) while allowing each holding to have a meaningful impact on the portfolio's performance.

  • The Goal: Through careful selection and patient buying, the investor aims for a portfolio where the majority of stocks meet the 15% return target, driving the entire portfolio's growth.


Summary of Section 16

Section 16 provides a detailed, step-by-step strategy for an enterprising investor to deploy a large sum of capital with the goal of achieving high returns, emphasizing the rigorous process of selecting a concentrated portfolio of high-quality growth companies bought at sensible prices.

  • The Foundation: The plan is built for an enterprising investor willing to do the "intelligent effort" of deep analysis.

  • The Core Strategy: The focus is on finding 7-10 high-quality growth stocks that demonstrate consistent historical growth (>15% in revenue and EPS), high returns on equity, and strong management.

  • The Execution: The QMV method is paramount: rigorously vetting Quality and Management first, and only then buying when the Valuation provides a Margin of Safety.

  • The Key Ingredient: Patience is essential to wait for the market to offer wonderful companies at fair or bargain prices, rather than chasing them when they are expensive.

In essence, this section demonstrates that achieving high returns is not about speculation or timing the market. It is a disciplined, business-like process of identifying and owning a select group of exceptional companies for the long term. It shows how the abstract principles from the first 15 sections can be combined into a coherent and actionable investment plan.

Return/Risk ratios of various Asset Allocations.

Section 9: Return/Risk ratios of various Asset Allocations.

Elaboration of Section 9

This section provides a powerful, data-driven visualization of a core principle introduced in Section 3: that strategic asset allocation is the primary driver of a portfolio's risk and return profile. It uses a specific chart to demonstrate that the relationship between risk and return is not always linear and that adding a "risky" asset to a "safe" portfolio can sometimes improve both its return and its risk characteristics.

The core of the argument is built around the analysis of a specific chart that plots different stock/bond mixes:

1. The Chart's Core Message: The Efficient Frontier
The chart illustrates what financial theory calls the "Efficient Frontier." It shows all the possible combinations of stocks (S&P 500) and bonds (a mix of Treasury notes and bonds) from 100% bonds to 100% stocks, and plots the resulting average annual return against the portfolio's risk (volatility).

2. The Counter-Intuitive "Sweet Spot"
The most critical insight from the chart is the non-linear relationship between risk and return at the conservative end of the spectrum.

  • The 100% Bond Portfolio: This is the starting point. It has a certain level of risk and a corresponding return.

  • Adding a Small Amount of Stocks (e.g., 20% Stocks / 80% Bonds): Here is the revelation. The chart shows that this 80/20 portfolio does not simply sit halfway between the two extremes. Astonishingly, it can achieve:

    • A higher potential return than the 100% bond portfolio.

    • The same, or even a lower, level of risk than the 100% bond portfolio.

3. Why This Happens: The Power of Diversification
This phenomenon occurs because stocks and bonds often do not move in perfect sync (they have low correlation).

  • When stocks are performing poorly, bonds often hold their value or even increase (e.g., during economic recessions when interest rates are cut).

  • This stabilizing effect from bonds reduces the overall volatility of the portfolio. Adding a small amount of stocks boosts return without proportionally increasing the portfolio's wild swings, thus improving its risk-adjusted return.

4. The Law of Diminishing Returns on Risk
The chart also illustrates another key lesson: at the aggressive end of the spectrum, taking on more risk yields smaller benefits.

  • As you move from 60% stocks to 80% stocks to 100% stocks, the curve begins to flatten.

  • This means you are taking on significantly more volatility for each additional unit of potential return. An investor holding 100% stocks is bearing a much higher risk of short-term loss for a return that may not be proportionally much higher than a 60% or 80% stock portfolio.

5. The Practical Application: How Much Risk Should YOU Take?
The section concludes by linking this data back to the personal factors from Section 2. The "optimal" point on the chart is different for everyone and depends on:

  • Risk Tolerance (What you can take): Your emotional ability to withstand portfolio declines without panicking.

  • Required Return (What you need to take): The return necessary to meet your financial goals (e.g., retirement income) after accounting for inflation.

  • Time Horizon: As noted, risk decreases over time. A long time horizon makes a higher stock allocation more viable.


Summary of Section 9

Section 9 uses a powerful chart to demonstrate that a strategic mix of stocks and bonds can create a portfolio that offers a better return for the same level of risk—or even lower risk—than a 100% "safe" bond portfolio.

  • Key Finding: A portfolio of 80% bonds and 20% stocks was shown to have a higher return and similar or lower risk than a portfolio of 100% bonds. This defies the simplistic notion that more return always requires more risk.

  • The Cause: Diversification. Because stocks and bonds often react differently to economic conditions, they smooth out each other's volatility when combined.

  • The Warning: The benefits of adding more stocks diminish at the high end. Moving from 80% to 100% stocks adds a lot of risk for a relatively smaller potential increase in return.

  • The Personal Decision: Your ideal spot on this risk-return curve is not determined by the market, but by your personal risk tolerance, required return, and time horizon.

In essence, this section provides the mathematical proof that a thoughtfully allocated portfolio is not just a good idea—it's a fundamentally more efficient way to invest. It convincingly argues that being 100% in bonds, often seen as the ultimate safe haven, is actually an inferior strategy for most long-term investors.