This paper reports evidence of intraday return predictability, consisting of both intraday momentum and reversal, in the cryptocurrency market. Using high-frequency price data on Bitcoin from March 3, 2013, to May 31, 2020, it shows that the patterns of intraday return predictability change in...

This paper attempts to investigate if adopting accurate forecasts from Neural Network (NN) models can lead to statistical and economically significant benefits in portfolio management decisions. In order to achieve that, three NNs, namely the Multi-Layer Perceptron (MLP), Recurrent Neural...

We develop an incomplete markets framework to synthesize domestic and foreign stochastic discount factors (SDFs) that are consistent with limited international risk sharing. The fundamental departure in our paper is that exchange rate growth need not equal the ratio of SDFs, and we develop a...