Smart beta research paper

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Bray, J. Economic man which explains that men would maximize the utility by using minimum effort based on the indicators of cardinal usefulness. For human beings, when they make a decision, they would consider kinds of aspects before the. Thus was the birth of the internet.
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Smart Beta - a series of white papers sponsored by Invesco PowerShares

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Smart Beta - a series of white papers sponsored by Invesco PowerShares | Cass Business School

This position paper seeks to draw the attention of investors to the risks of traditional smart beta equity indices and proposes a new approach to smart beta investing to take account of these risks This position paper seeks to draw the attention of investors to the risks of traditional smart beta equity indices and proposes a new approach to smart beta investing to take account of these risks. Fully international and directly connected to the business world, EDHEC commands a strong reputation for research excellence and the ability to train entrepreneurs and managers capable of breaking new ground. EDHEC functions as a genuine laboratory of ideas and produces innovative solutions valued by businesses. In partnership with large financial institutions, its team of permanent professors, engineers, and support staff, and research associates and affiliate professors, implements seven research programmes and six research chairs, industrial partnerships and private research projects focusing on asset allocation and risk management.
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3 ‘Hidden Risks’ of Smart Beta

Smart beta investing combines the benefits of passive investing and the advantages of active investing strategies. The goal of smart beta is to obtain alpha , lower risk or increase diversification at a cost lower than traditional active management and marginally higher than straight index investing. It seeks the best construction of an optimally diversified portfolio. In effect, smart beta is a combination of efficient-market hypothesis and value investing.
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June We document sharp performance deterioration of smart beta indexes after the corresponding smart beta ETFs are listed for investments. Adjusted by aggregate market return, the average return of smart beta indexes drops from 2. This performance deterioration cannot be explained by strategic timing in ETF listing nor explained by time trend in factor premia. We find evidence of data mining in constructing smart beta indexes as the post-ETF-listing performance decline is much sharper for indexes that are more susceptible to data mining in backtests.
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