Governments have a substantial influence on the allocation of resources in setting the rules of the game of financial markets. However, up to now, institutional economics and the theory of financial markets are totally separated research areas. To close this analytical gap, our paper connects...

This paper reviews and appraises the body of empirical research on the association between .nancial markets and economic growth that has accumulated over the past quarter-century. The bulk of the historical evidence suggests that financial development a¤ects economic growth in a positive,...

Constrained efficient allocation (CE) is characterized in a model of adverse selection and directed search (Guerrieri, Shimer, and Wright (2010)). CE is defined to be the allocation that maximizes welfare, the ex-ante utility of all agents, subject to the frictions of the environment. When...

During and after the Great Recession of 2008-09, conventional monetary policy in the United States and many other advanced economies was constrained by the effective lower bound (ELB) on nominal interest rates. Several central banks implemented large-scale asset purchase (LSAP) programs, more...

Dealer networks provide essential intermediation services in over-the-counter markets. We document the response of dealer networks to the arrival of new public information. We find that after public news releases, dealer networks become more complex and channel larger flows of securities between...

Purpose: Modelling security prices seem to be an ending debate in finance literature due to no clear consensus on behavioral patterns, Knowledge of stock price movement has always been an important source of information that is much needed in asset pricing and trading strategies, The aim of this...

We offer retrospective and prospective assessments of the Diebold-Yilmaz connectedness research program, combined with personal recollections of its development. Its centerpiece in many respects is Diebold and Yilmaz (2014), around which our discussion is organized.

We examine machine learning and factor-based portfolio optimization. We find that factors based on autoencoder neural networks exhibit a weaker relationship with commonly used characteristic-sorted portfolios than popular dimensionality reduction techniques. Machine learning methods also lead to...

In the paper we introduce an empirical approximation of the log-optimal investment strategy that guarantees an almost optimal growth rate of investments. The proposed strategy also considers the effects of portfolio rearrangement costs on growth optimality and advises a suboptimal portfolio for...

Using the Tsay (1988) outlier identification methodology on daily log-returns of 16 commodity spot price series and 25 commodity index series, this study assesses the impact significant and unexpected news announcements had on volatility between January 1, 1997 and December 31, 2007. Results...