NISM 15 Chapter 12: Fundamentals of Risk and Return | Study Notes by Dhaval Visariya

NISM Series XV - Chapter 12: Fundamentals of Risk and Return

Investing is not just about how much you make; it's about how much risk you took to make it. In this chapter, we explore the mathematical measures of risk and the psychological traps that lead to poor decision-making.

1. Understanding Returns

ROI measures the efficiency of an investment. It tells you how much profit you made relative to the cost of the investment.

ROI Formula: [ (Net Profit / Total Investment) × 100 ]

  • Example: If you invest ₹1,00,000 and earn a profit of ₹10,000, your ROI is 10%

  • While ROI is great for a single period, CAGR is the gold standard for measuring long-term growth. It smooths out the returns over multiple years and assumes all profits are reinvested.

    CAGR Formula: [ (End Value / Beginning Value) ^ (1 / n) ] - 1

    • n: The number of years the investment was held.

    • Why use it? Unlike simple returns, CAGR accounts for the compounding effect, making it the most accurate way to compare different assets (like Stocks vs. FD) over long periods.

2. The Two Types of Risk

Risk is the "Known Uncertainty." It is broadly classified into two categories:

A. Systematic Risk (Non-Diversifiable)

Risks that affect the entire market. You cannot escape these by buying more stocks.

  • Examples: Inflation, Interest Rate changes, War, or Government Policy shifts.

  • Measure: Represented by Beta ($\beta$).

B. Unsystematic Risk (Diversifiable)

Risks specific to a single company or industry.

  • Examples: Poor management, a strike at a factory, or a specific product failure.

  • Solution: Can be eliminated through Diversification (owning a variety of assets).

3. Measuring the "Danger" (Risk Metrics)

  • Standard Deviation: Measures the total volatility (how much the stock price "jiggles" around its average).

  • Beta ($\beta$): Measures sensitivity to the market.

    • $\beta = 1$: Moves exactly with the market.

    • $\beta > 1$: More volatile than the market (Aggressive).

    • $\beta < 1$: Less volatile than the market (Defensive).

  • VaR (Value at Risk): The maximum potential loss over a specific time with a certain level of confidence (e.g., "There is a 95% chance I won't lose more than ₹5,000 today").

4. Risk-Adjusted Return Ratios

To compare two portfolios fairly, use these "Efficiency" metrics:

RatioFormula LogicBest Used For...
Sharpe Ratio(Return - RiskFree) / Std DeviationMeasuring return per unit of Total Risk.
Treynor Ratio(Return - RiskFree) / BetaMeasuring return per unit of Systematic Risk.
Jensen's AlphaActual Return - CAPM Expected ReturnMeasuring the "Extra" return generated by the analyst's skill.

5. Behavioral Biases: The "Bugs" in Our Brain

Even with the best data, humans make mistakes due to psychological biases:

  • Loss Aversion: The pain of losing ₹1,000 is twice as strong as the joy of gaining ₹1,000. This leads to "Fear-based Inaction."

  • Confirmation Bias: Only looking for news that proves you are right and ignoring the bad news.

  • Herd Mentality: Buying a stock just because everyone on YouTube/Telegram is buying it.

  • Anchoring: Getting stuck on a "past price" (e.g., "I will only sell when it hits the price I bought it at") even when the fundamentals have changed.

6. Margin of Safety

The "Margin of Safety" is the gap between the Intrinsic Value (what it's worth) and the Market Price (what you pay).

Goal: Buy when Price is significantly lower than Value to protect yourself against research errors or market shocks.

Dhaval’s Study Tip for Chapter 12:

Focus on the Sharpe vs. Treynor difference. Remember: Sharpe uses Standard Deviation (Total Risk), while Treynor uses Beta (Systematic Risk). Also, keep an eye out for Loss Aversion questions—it's a favorite behavioral topic!

Dhaval Visariya

AMFI Registered Distributor (ARN-327925) | Software Developer & Finance Enthusiast

Connect with me:
LinkedIn | Telegram | YouTube | GitHub | Medium

Disclaimer: I am an AMFI Registered Mutual Fund Distributor. Views expressed here are for educational purposes. Mutual Fund investments are subject to market risks, read all scheme related documents carefully.
📧 Contact: info.apollofinancialservices@gmail.com

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