Markowitz Model 🧠🏛️
Proposed by Harry Markowitz in 1952, the Markowitz Model (also called the Mean-Variance Model) provided the first mathematical framework for diversifying a portfolio. It transformed portfolio management from an art into a science.
1. The Core Objective
The model's goal is to help an investor choose a portfolio that:
- Maximizes Return for a given level of risk.
- Minimizes Risk for a given level of expected return.
This is known as the Mean-Variance Criterion.
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2. Assumptions of the Model
Like all scientific models, the Markowitz Model makes several assumptions about the world and investors:
- Rational Investors: Investors want more money and less risk.
- Risk Aversion: If two portfolios have the same return, the investor will always choose the one with lower risk.
- Information Availability: All investors have access to the same information at the same time.
- Efficiency: There are no taxes or brokerage commissions (in the theoretical model).
- Single Period: Decisions are made for one specific holding period.
- Quantifiable Risk: Risk is uniquely measured by Variance or Standard Deviation.
3. The Efficient Set
Markowitz proved that out of infinite possible combinations of stocks, only a few are actually "worth holding."
A portfolio is Efficient if no other portfolio exists that has:
- A higher return with the same risk.
- A lower risk with the same return.
By plotting these efficient portfolios on a graph, we get the Efficient Frontier.
4. Limitations of the Model
While revolutionary, the Markowitz model has some real-world issues:
- Data Intensive: It requires a huge number of inputs (Expected returns, variances, and correlations for every pair of stocks).
- Estimation Error: If your "guesses" for future returns are slightly wrong, the whole model fails.
- Complexity: It is difficult for individual investors to calculate without software.
Summary
- The Markowitz Model is based on the Mean-Variance Criterion.
- It assumes investors are rational and risk-averse.
- It focuses on finding the Efficient Frontier.
- Its biggest strength is scientific diversification; its biggest weakness is its heavy data requirement.
Quiz Time! 🎯
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