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Performance analysis of hedge funds has proven to be challenging in the past since these entities have the flexibility to choose between a wide variety of dynamic trading strategies without being compelled to report their holdings. That being said, using bootstrap procedures, some authors in the academic literature have succeeded in quantifying the proportion of funds which demonstrates persistent performance. Yet, these methodologies are based on an extensive range of multifactor models to estimate the performance of hedge funds. Four different models which seem particularly adapted to assess hedge fund returns will be replicated, with both buy-and-hold and optional factors incorporated. The research aims at demonstrating the potential bias and/or outperformance brought by some factor models used when defining hedge fund manager skills. Using robust bootstrap simulations, evidence was found that superior hedge fund performance cannot be explained by luck alone and that, regardless of the multifactor model used.
hedge funds --- performance --- risk/return --- bootstrap procedure --- false discoveries --- dynamic trading strategies --- multifactor model --- manager skills --- luck --- Sciences économiques & de gestion > Finance
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What do hedge funds really do? These lightly regulated funds continually innovate new investing and trading strategies to take advantage of temporary mispricing of assets (when their market price deviates from their intrinsic value). These techniques are shrouded in mystery, which permits hedge fund managers to charge exceptionally high fees. While the details of each fund's approach are carefully guarded trade secrets, this book draws the curtain back on the core building blocks of many hedge fund strategies.
Hedge funds. --- Portfolio management. --- absolute return --- active investment management --- arbitrage --- capital asset pricing model --- CAPM --- derivatives --- exchange traded funds --- ETF --- fat tails --- finance --- hedge funds --- hedging --- high-frequency trading --- HFT --- investing --- investment management --- long/short --- modern portfolio theory --- MPT --- optimization --- quant --- quantitative trading strategies --- portfolio construction --- portfolio management --- portfolio optimization --- trading --- trading strategies --- Wall Street
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This book is comprised of articles published in a Special Issue of the Journal of Risk and Financial Management entitled "Frontiers in Asset Pricing" with Guest Editors Professor James W. Kolari and Professor Seppo Pynnonen. The book contains papers in various areas related to asset pricing: (1) models; (2) multifactors; (3) theory; (4) empirical tests; (5) applications; (6) other asset classes; and (7) international tests.
Philosophy --- forecasting --- commodity market --- metals --- term structure --- yield spread --- carry cost rate --- hedge ratio --- conditional hedge ratio --- bias adjustments --- earnings --- announcements --- options --- informed trading --- net buying pressure --- volatility --- direction --- at-the-money --- out-of-the-money --- deep-out-of-the-money --- asset pricing --- S&P 500 index --- survivor stocks --- risk factors --- momentum --- Bitcoin --- cryptocurrencies --- outliers --- GARCH-jump --- time-varying jumps --- zero-beta CAPM --- return dispersion --- expectation-maximization (EM) regression --- latent variable --- free-boundary problem --- pairs trading --- stochastic control --- trading strategies --- transaction costs --- transaction regions --- finance --- economics --- event study --- clustered event days --- cross-sectional correlation --- cumulated ranks --- rank test --- standardized abnormal returns --- market index --- market factor --- multifactors --- efficient portfolios --- efficient market hypothesis --- unit root --- spectral analysis --- abnormal returns --- pricing --- market volume --- portfolio profitability --- Poisson model
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