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Marcus Schulmerich's Applied Asset and Risk Management: A Guide to Modern PDF

By Marcus Schulmerich

This publication is a advisor to asset and danger administration from a realistic perspective. it's founded round questions caused by way of the worldwide occasions at the inventory markets because the heart of the decade:

- Why do crashes occur while in concept they need to no longer?

- How do traders take care of such crises when it comes to their possibility size and administration and as a result, what are the results for the selected funding recommendations?

The publication offers and discusses varied ways to finance and making an investment, i.e., sleek portfolio idea and behavioral finance, and offers an outline of inventory industry anomalies and historic crashes. it really is meant to function a entire advent to asset and danger administration for bachelor’s and master’s scholars during this box in addition to for younger pros within the asset administration undefined. A key a part of this e-book is the routines to additional show the strategies awarded with examples and a step by step enterprise case. An Excel dossier with the calculations and recommendations for all 17 examples in addition to all enterprise case calculations should be downloaded at extras.springer.com.

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Additional resources for Applied Asset and Risk Management: A Guide to Modern Portfolio Management and Behavior-Driven Markets

Sample text

284). We assume 252 trading days per year. 3 Traditional Risk and Risk-Adjusted Return Measures 43 • If the covariance is negative, then one asset tends to have high (low) returns when the other one has low (high) returns. For example, high oil prices negatively affect airlines. Hence, the covariance between the returns of airline stocks and oil prices is negative. • If the covariance is zero, then there is no linear relation between the asset returns: knowledge of the return of one asset will not lead to any knowledge about the return of the other asset.

Putting these data in Eq. a. alpha based on the client’s investment universe and tracking error specification in combination with the skills of the portfolio manager. 4 Covariance and Correlation When investing in more than one security, another risk measure besides the individual volatility of each stock has to be taken into consideration. Investors want to know: What is the relationship or interaction between the percentage return for two assets in the equidistant subperiods of, for example, 1 day or 1 month?

Let us denote the subperiod percentage returns of the portfolio as always with 1 2 N ; rPf ; : : : ; rPf ; rPf the subperiod percentage returns of the benchmark with 1 2 N rBm ; rBm ; : : : ; rBm ; and the alpha for the k-th subperiod with ˛ k ; 1 Ä k Ä N . Then, the tracking error of the portfolio versus its benchmark is the standard deviation of the subperiod percentage alpha returns ˛ 1 ; ˛ 2 ; : : : ; ˛ N . Depending on the chosen subperiods, we get the respective tracking error: daily alphas as input lead to a daily tracking error.

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