How deeply does Investing for Programmers cover Markowitz-efficient portfolio?

Works from historical returns through annualization, covariance, random portfolios, Sharpe scoring, and frontier visualization.

Markowitz-efficient portfolio

As explained in Investing for Programmers

A Markowitz-efficient portfolio is a portfolio on the efficient frontier that offers the highest expected return for a given risk or the lowest risk for a given return.

A Markowitz-efficient portfolio lies on the efficient frontier: no alternative offers higher expected return at the same risk or lower risk at the same return. Diversification balances expected return against variance, making the model a practical way to compare portfolio choices rather than a guarantee of future performance. section 7.6.1

A Python portfolio calculation

Using three years of data for AAPL, WMT, GOOGL, KO, PFE, BRK-B, and NVDA, the calculation uses a 0.0422 risk-free rate and 10,000 candidate portfolios. One resulting allocation assigns 63.6% to NVDA, 29.3% to PFE, and smaller weights to the remaining stocks. Such concentration is a useful prompt to inspect assumptions and risk, not an investment recommendation.

How Investing for Programmers covers it

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Related concepts

efficient frontierpart of · The efficient frontier is the set of portfolios offering the highest expected return at each level of risk, or the lowest risk at each level of expected return.
Monte Carlo simulationproduced by · Monte Carlo simulation is a computational technique that uses repeated random sampling to estimate quantities or characterize possible outcomes.
portfoliokind of · A portfolio is a collection of assets, work, tools, or initiatives assembled or managed together for purposes such as evaluation, presentation, investment, or prioritization.
Sharpe ratioconfigured by · The Sharpe ratio measures an investment’s excess expected return over the risk-free rate per unit of return volatility.

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.