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The (Uncertain) Payoff from Alternative Investments: Many a slip between the cup and the lip?

Musings on Markets

That argument has both a statistical basis, with the covariance between the two investments operating as the mechanism for the risk reduction, and an economic basis that the idiosyncratic movements in each investment can offset to create a less risky combination.

Alpha 76
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Beta Explained: What It Is and How to Calculate It

Valutico

Beta is calculated using historical price data, asset returns, market index returns, covariance, and variance. Step 3: Calculate Covariance Determine the covariance between the asset returns and the market returns. Covariance measures the degree to which two variables move together.

Beta 52
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AI Robotics Company Electric Sheep Acquires Two More Landscaping Businesses and Brings Tech-Enabled Private Equity Model to Outdoor Services Industry

Benzinga

As this model scales, ESR is poised to build. Full story available on Benzinga.com

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The School Bell Rings: Time for Class!

Musings on Markets

Again, I have a short course that I put together that covers the statistical concepts needed in finance, from summary statistics (averages, medians) to measures of relationships (correlations, covariances) to predictive and analytics tools (regressions, simulations): If you are a statistics maven, you will undoubtedly find my discussion of statistical (..)

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Does ESG Information Affect Individual Investors’ Portfolio Choices?

Reynolds Holding

We then analyze whether participants’ personal characteristics drive their portfolio reallocation decisions in response to ESG information and use demographics, financial literacy and experience, personality traits, and ESG awareness as potential covariates.

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The Factors that Matter for Growth in Institutional Ownership

Reynolds Holding

The overall impact of corporate aggregate distributions depends on the magnitude of such distributions and their covariation with institutional-level flows.

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A Return to Teaching: The Spring 2023 Edition

Musings on Markets

In this class, I start by looking at data collection and data descriptives , before moving on to distributions and data relationships (correlations, covariances and regressions) and closing with probabilities and probabilistic tools.