Using daily abnormal currency returns for the universe of countries with flexible exchange rates, we document local currency depreciations ahead of unscheduled, public, sovereign debt downgrade announcements. Consistent with the private information hypothesis, the effect is stronger in lower...

This paper addresses the information asymmetry between Chinese local A-share and foreign B-share markets and its impact on the B-share discount puzzle, contingent upon Chinese stock market liberalization reforms in 2001 and 2002. In contrast with the widespread notion that domestic investors are...

I build a model where creditworthy countries may use fiscal austerity to communicate their ability to repay sovereign debt and show that the signaling channel is active only for high levels of asymmetric information. The model generates a negative association between the amount of public...

We introduce two online backtest overfitting tools: BODT simulates the overfitting of seasonal strategies (typical of technical analysis), and TMST simulates the overfitting of econometric strategies (typical of academic journals). We show that econometric methods lend themselves to extreme...

For large portfolio managers, a sequence of single-period optimal positions is rarely multi-period optimal. In particular, transaction costs can prevent large portfolio managers from monetizing most of their forecasting power. The solution is to compute the trading trajectory that comes...

While recent literature has depicted status as an intangible asset that is firm-specific and mobile, we have a limited understanding of whether status confers advantage in a way similar to other intangible assets. This study examines the macro-structural contingencies that influence the marginal...

We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum annealer. We derive a formulation of the problem, discuss several possible integer encoding schemes, and present numerical examples that show high success rates. The formulation incorporates transaction costs...

This paper presents the performance of seven portfolios created using clustering analysis techniques to sort out assets into categories and then applying classical optimization inside every cluster to select best assets inside each asset category.The proposed clustering algorithms are tested...