In a coordination game such as the Battle of the Sexes, agents can condition their plays on external signals that can, in theory, lead to a Correlated Equilibrium that can improve the overall payoffs of the agents. Here we explore whether boundedly rational, adaptive agents can learn to...

Algorithms play an increasingly important role in economic situations. Often these situations are strategic, where the artificial intelligence may or may not be cooperative. We study the determinants and forms of algorithmic cooperation in the infinitely repeated prisoner's dilemma. We run a...

Recent turmoil in financial markets endorses the need for rigorous handling and integration of asset liquidity risk into Value-at-Risk (VaR) models. In this work we develop and test measures of certain kinds of asset liquidity risk that is useful for completing the definition of market risk and...

Robo-advisors are novel tools in financial markets that provide investors with low-cost financial advice, usually based on individual characteristics like risk attitudes. In a portfolio choice experiment running over 10 weeks, we study how much investors benefit from robo advice. We also study...

Adjusting the correlation matrix plays an important role in risk management as well as option pricing. We usually adjust the correlation matrix by directly changing the correlation coefficient in the correlation matrix. However, there is a chance that the adjusted correlation matrix is not...

The design of the Bitcoin difficulty adjustment algorithm (DAA) is vulnerable as it dismisses miners' responses to policy changes. We develop an economic model of the Proof-of-Work blockchain system. Our model allows miners to pause operation when it is not profitable. Hence, the supply of...

We propose a hybrid quantum-classical algorithm, originated from quantum chemistry, to price European and Asian options in the Black-Scholes model. Our approach is based on the equivalence between the pricing partial differential equation and the Schrodinger equation in imaginary time. We devise...

We propose a partitioning algorithm to solve a class of linear-quadratic Markov decision processes with inequality constraints and non-convex stage-wise cost; within each region of the partitioned state space, the value function and the optimal policy have analytical quadratic and linear forms,...

Financial markets have undergone a remarkable transformation over the past two decades due to advances in technology. These advances include faster and cheaper computers, greater connectivity among market participants, and perhaps most important of all, more sophisticated trading algorithms. The...