Characteristic-sorted portfolios are the workhorses of modern empirical finance, deployed widely to evaluate anomalies and construct asset pricing models. We propose a new method for their estimation that is simple to compute; makes no ex-ante assumption on the nature of the relationship between...

This paper analyzes the ability of unconventional monetary policies to reduce the spread between the credit and the short-term policy interest rates. We provide a theoretical framework based on the bank-lending channel that incorporates an interbank money market. The proposed model shows that...

This paper proposes a new bivariate modeling approach for setting daily equity-trading risk limits using high-frequency data. We construct one-day-ahead Value-at-Risk (VaR) forecasts by taking into account the different dynamics of the overnight and daytime return processes and their covariance....

This paper shows that under absence of arbitrage opportunities the exchange rate reacts to restore equilibrium in international bond markets. The key factors determining its value are the difference between realized and implicit interest rate differentials, the underlying risk premium in bond...

This paper conducts a laboratory experiment to assess the optimal portfolio allocation under quantile preferences (QP) and compare the model's predictions with those of the expected utility theory using a mean-variance (MV) utility function. We estimate the risk aversion coefficients associated...

Building on an economic model of rational Bitcoin mining, we measure the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. After reviewing the literature on deep learning methods, we find associated carbon footprints of 3.8038, 23.8313 and 19.83472 MtCOe...