We analyze the impact that transaction costs have on asset mispricing in state-contingent claims markets. In particular, we examine betting markets, in which, it has been argued, transaction costs cause the favorite-longshot bias, a pricing anomaly analogous to the volatility smile in options...

The yield curve is the centrepiece in bond markets, a massive asset class with an overall size of USD100 trillion that remains relatively under-investigated using machine learning. This paper is the first comprehensive study using artificial neural networks in the context of yield curve...

The importance of bond markets in the financial industry stems from its dimension, its direct relevance for other asset classes and for the overall economy. In this paper, we conduct the first study of bond yield forecasting using deep learning long short-term memory (LSTM) networks, validating...

We develop a model in which margin procyclicality and the propensity for liquidity hoarding interact to generate a systemic liquidity crisis. In this model, banks lend and borrow in the interbank market to mitigate liquidity risk and trade derivatives contracts in the OTC derivatives market to...

We develop a model in which margin procyclicality, asset market depth and banks' propensity for liquidity hoarding interact to generate a systemic liquidity crisis. In this model, banks trade derivatives to hedge market risk or to speculate on interest rate movements. To mitigate counterparty...

Motivated by the seasonality found in equity returns, we create a Turn-of-the-Month (ToM) allocation strategy in the U.S. equity market and investigate its value in asset allocation. By using a wide variety of portfolio construction techniques in an attempt to address the impact of estimation...