For optimal asset allocation, mean-variance investors must learn about the joint dynamics of new and existing asset classes, not only their profitability. Bitcoin's digital gold narrative provides a unique laboratory to test this hypothesis. We find that a decrease in investors' estimate on...

When a new asset keeps changing its narrative, investors find difficulty in classifying and understanding the new asset. Rational investors therefore face unprecedented uncertainty and learn about the joint dynamics to optimize their portfolio accordingly. Bitcoin's "digital gold" narrative, as...

This study shows that the learning by doing (LBD) effect has substantial, both quantitative and qualitative, consequences for the international transmission of monetary policy. LDB implies that a country can increase its productivity-increasing skill level, at the expense of the neighbor, by...

In case of multiple source lending even solvent firms may be forced into bankruptcy due to uncoordinated credit withdrawals of their lenders. This paper analyzes whether a debtor firm can thwart such inefficient liquidations by offering creditors the option to delay their foreclosure decision...

Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations...

Central bank communication plays an important role in shaping market participants’ expectations. This paper studies a simple nonlinear model of monetary policy in which agents have incomplete information about the economic environment. It shows that agents’ learning and the dynamics of the...

Why are some people more optimistic about their life than others? Literature on locus of control suggests that optimism is associated with the belief that one’s life outcomes are controlled by internal factors, such as ability, instead of external factors, such as powerful others or chance....

Most studies of optimal monetary policy under learning rely on optimality conditions derived for the case when agents have rational expectations. In this paper, we derive optimal monetary policy in an economy where the Central Bank knows, and makes active use of, the learning algorithm agents...

We report experimental and theoretical results on the minority of three-game where three players have to choose one of two alternatives independently and the most rewarding alternative is the one chosen by a single player. This coordination game has many asymmetric equilibria in pure strategies...