"Why did we write this book? We wanted to help financial experts and investors to understand the state-of-the-art of artificial intelligence and machine learning in finance. And so, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate....

Most empirical studies on liquidity constraints classify a consumer as being constrained on the basis of a single indicator such as the asset to income ratio. In this analysis, we model the probability that a consumer faces liquidity constraints as a function of multiple social and economic...

We investigate whether the set of Kreps and Porteus (1978) preferences include classes of preferences that are stationary, monotonic and well-ordered in terms of risk aversion. We prove that the class of preferences introduced by Hansen and Sargent (1995) in their robustness analysis is the only...

This paper suggests a new explanation for the low level of annuitization, which is valid even if one assumes perfect markets. We show that, as soon there exists a positive bequest motive, sufficiently risk averse individuals should not purchase annuities. A model calibration accounting for...

We present a theory of business cycle movements for derivative asset prices and volumes. This theory relies on time-varying heterogeneity among agents in their demand for insurance against aggregate risk. We are able to analytically characterize a general equilibrium in which positive quantities...

The bond supply affects the yield curve through a wealth effect. We prove notably that a larger volume of titles shifts the level of the yield curve downward and increases its slope. Finally, credit constraints allow idiosyncratic and aggregate risks to interact and thus make interest rates more...