Dollar-denominated deposits constitute a large proportion of deposits in many developing economies. This may result in currency mismatches on banks' balance sheets as is suggested by recent literature. In general, having dollar-denominated deposit and loans could increase financial fragility,...

In highly dollarized banking systems, the high level of foreign currency assets or liabilities on banks' balance sheets may create a currency mismatch risk, which could lead to bank failures when faced with sudden exchange rate movements. Central banks in such economies have to adjust their...

This paper adds to the literature on the financial markets' reaction to government interventions during the 2007-2009 financial crisis by analyzing the response of US firms' credit default swap spreads to key government actions. We find that the government measures taken to stabilize both the...

Banks in highly dollarized economies face risks that significantly affect their ability to perform their financial intermediation role. In these economies, dollarization plays a dual role: on the one hand, it provides a hedging instrument protecting the value of savings; on the other hand, it...

By using data from thirteen publicly traded commercial and deposit banks this paper estimates the determinants of market risk for banks’ equities in the case of an emerging market economy, Turkey. The analysis reveals that maturity composition of banks’ loans, share of trading income in...

We study the impact of fractional trading on non-professional investors’ decision-making under uncertainty. Using the expected utility framework, we show that with the recent easiness to trade in stock markets and with the option to buy or sell a fraction of a share of a stock or ETFs...

We study the impact of fractional trading on the price levels and order book dynamics observed in the market. Fractional trading has been a recent introduction in equities markets on multiple trading platforms, allowing individuals to buy a fraction of a share of stocks or ETFs (exchange-traded...

We design and implement optimal foreign exchange portfolio allocations. An optimal allocation maximizes the expected return subject to a Value-at-Risk (VaR) constraint. Based on intradaily data, the optimization procedure is carried out at regular time intervals. For the estimation of the...

We propose a new procedure to perform Reduced Rank Regression (RRR) in non-Gaussian contexts, based on Multivariate Dispersion Models. Reduced-Rank Multivariate Dispersion Models (RR-MDM) generalise RRR to a very large class of distributions, which include continuous distributions like the...

This paper introduces a new multivariate model for time series count data. The Multivariate Autoregressive Conditional Poisson model (MACP) makes it possible to deal withissues of discreteness, overdispersion (variance greater thant then mean) and both auto- and crosscorrelation. We model counts...