The purpose of this paper is to model differential rates over residual information sets, so as to shape transactional algebras into operational grounds. Firstly, simple differential rates over residual information sets are introduced by taking advantage of finite algebras of sets. Secondly,...

Frazzini and Pedersen (2014) document that a betting against beta strategy that takes long positions in low-beta stocks and short positions in high-beta stocks generates a large abnormal return of 6.6% per year and they attribute this phenomenon to funding liquidity risk. We demonstrate that...

Using a comprehensive set of 103 equity strategies, we analyze the value of volatility-managed portfolios for real-time investors. Volatility-managed portfolios do not systematically outperform their corresponding unmanaged portfolios in direct comparisons. Consistent with Moreira and Muir...

This paper examines the annual risks and returns of three disparate, hypothetical merger arbitrage portfolio strategies as an attempt to capture alpha from an in-sample study of 793 global M&A transactions covering the January 2000 thru December 2016 time period. Previously written and...

This research investigates the macro factors for forecasting (1) bond risk premia and (2) term structure of government bond yields by using Bayesian Model Averaging (BMA) based on empirical prior. Different from the traditional variable selection approach which advocates finding an...

We examine the asymmetric impact of shocks to macroeconomic expectations and their underlying dispersion on equity risk premia across different market regimes. First, we rely on a two-state logit mixture vector autoregressive model and use Consensus Economics survey data on GDP growth,...

We examine the asymmetric impact of shocks to macroeconomic expectations and their underlying dispersion on equity risk premia across different market regimes. First, we rely on a two-state logit mixture vector autoregressive model and use Consensus Economics survey data on GDP growth,...

The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...

Statistical learning models have profoundly changed the rules of trading on the stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, the available studies are mostly focused on testing the increasingly complex machine learning...

AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that it provides more correlated errors as the boosting iteration proceeds if models’ accuracy is high enough. Therefore, in this study, we propose a novel way to improve the...