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We discuss how to build ETF risk models. Our approach anchors on i) first building a multilevel (non … how to build an ETF taxonomy using ETF constituent data. A multilevel ETF taxonomy can also be constructed by … appropriately augmenting and expanding well-built and granular third-party single-level ETF groupings …
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To many people, the terror of falling share prices is often significant, often more so than the pleasure of gains. Accordingly, investors often want to minimize downside volatility as a part of their portfolio planning. Investors already have several tools to measure downside volatility,...
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We introduce a decomposition showing precisely how actively-managed portfolio returns can be separated into three measurable components that we call Opportunity, Foresight, and Active Management Risk. Opportunity reflects the degree to which the investment opportunity set contains exploitable...
Persistent link: https://www.econbiz.de/10013133301
This paper demonstrates that liquidity risk as measured by the covariation of fund returns with unexpected changes in aggregate liquidity is an important predictor of hedge-fund performance. The results show that funds that significantly load on liquidity risk subsequently outperform low-loading...
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used hedge-fund factors. These findings highlight the importance of understanding systematic liquidity variations in the …
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The high cost of capital for firms conducting medical research and development (R&D) has been partly attributed to the government risk facing investors in medical innovation. This risk slows down medical innovation because investors must be compensated for it. We propose new and simple financial...
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We study a concept of dynamic leverage which is a risk measure generalizing traditional value at risk type measures. This measure is suited for hedge funds and can be applied to quantify risk in a fund of hedge funds. Dynamic leverage depends on the level of fund volatility, time horizon and...
Persistent link: https://www.econbiz.de/10012938641