"We study the exposure of the U.S. corporate bond returns to liquidity shocks of stocks and treasury bonds over the period 1973 to 2007. A decline in liquidity of stocks or Treasury bonds produces conflicting effects: Prices of investment-grade bonds rise while prices of speculative grade bonds...

This paper presents different deep neural network architectures designed to forecast the distribution of returns on a portfolio of U.S. Treasury securities. A long short-term memory model and a convolutional neural network are tested as the main building blocks of each architecture. The models...