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Quantocracy’s Daily Wrap for 10/18/2021

This is a summary of links featured on Quantocracy on Monday, 10/18/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Pairs Trading with Markov Regime-Switching Model [Hudson and Thames]

    Traditional pairs trading strategies are prone to failures when fundamental or economic reasons cause a structural break and the pair of assets that were expected to move together are no longer having a strong relationship. Such a break may result in asset price spread having abnormally high deviations failing to revert to its historical mean values. Under these circumstances, betting on the
  • Long Volatility Strategies: Hedge Funds vs DIY [Factor Research]

    Long volatility exposure is typically achieved via hedge funds A simple DIY strategy would have generated similar attractive diversification benefits Most of the returns are explained by risk-off currencies, government bonds, and gold INTRODUCTION Do-it-yourself is the best and worst financial advice for retail investors. On the one hand, retail investors are not particularly good investors and
  • Measuring the value-added of algorithmic trading strategies [SR SV]

    Standard performance statistics are insufficient and potentially misleading for evaluating algorithmic trading strategies. Metrics based on prediction errors mistakenly assume that all errors matter equally. Metrics based on classification accuracy disregard the magnitudes of errors. And traditional performance ratios, such as Sharpe, Sortino and Calmar are affected by factors outside the

Filed Under: Daily Wraps

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