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components used in asset pricing, namely the risk physical and neutral measures and the relative pricing kernel.The analysis is … utility of terminal wealth, we prove the existence of an information premium between what is required by the theory, a … interconnection between the pricing kernel and its densities, the extension to the risk-neutral measure follows naturally …
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I/B/E/S removes 6% of one-quarter-ahead earnings forecasts from the calculation of the consensus forecast. This study examines managers' role in these removals. We show optimistic forecasts are removed more often than pessimistic forecasts, after controlling for removal policies that I/B/E/S...
Persistent link: https://www.econbiz.de/10012898780
Consensus estimates, formed by taking an average of analyst forecasts, play an important role in capital markets (e.g., provide investors with a proxy for earnings expectations). We show I/B/E/S, a prominent information intermediary, removes 6% of one-quarter-ahead earnings forecasts before...
Persistent link: https://www.econbiz.de/10013311229
While common machine learning algorithms focus on minimizing the mean-square errors of model fit, we show that genetic programming, GP, is well-suited to maximize an economic objective, the Sharpe ratio of the usual spread portfolio in the cross-section of expected stock returns. In contrast to...
Persistent link: https://www.econbiz.de/10013242613
use of counterparty risk mitigation techniques including the use of market compression. In this process groups of market … compression is a serious alternative counterparty risk mitigation technique to the use of CCPs that should be encouraged by …
Persistent link: https://www.econbiz.de/10013063807
as decreasing absolute risk aversion (DARA) stochastic dominance (DSD). For comparison with DSD we also consider …
Persistent link: https://www.econbiz.de/10012928166
discrete ill-posed problem with box constraints. We show how this framework allows for a priori investor expectations and risk … parameters to be applied in the optimization process for robust position risk management. We use implied volatility decreases … that this model can be applied dynamically to manage portfolio risk for positions with multiple options and an underlying …
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