The Ottoman dissolution and the İstanbul bourse between war and peace: a foreign exchange market perspective on the Great War

The participation of the Ottoman Empire in the First World War caused economic disruptions, huge budget deficits, surmounted inflation rates and excessive depreciation of Lira, the Ottoman currency. Based on the value of Lira against the currencies of Switzerland, Netherlands, Sweden that were not in the war, we focus on the effects of news about the war on the foreign exchange rates at the ?stanbul bourse from 1918 to 1919. Our results signify some dates, which match the announcements of the armistices and peace meetings, heralding continuous depreciation of Lira. Thus, the findings support the presence of an expectation on the dissolution of the Ottoman Empire with the peace, marked by the escalation of the loss in trust for the Lira and the power of the state in foreign exchange interventions.     

Volatility Modeling and Value-at-Risk (VaR) Forecasting of Emerging Stock Markets in the Presence of Long Memory,Asymmetry, and Skewed Heavy Tails

In this article, we elaborate some empirical stylized facts of eight emerging stock markets for estimating one-day- and one-week-ahead Value-at-Risk (VaR) in the case of both short- and long-trading positions. We model the emerging equity market returns via APARCH, FIGARCH, and FIAPARCH models under Student-t and skewed Student-t innovations. The FIAPARCH models under skewed Student-t distribution provide the best fit for all the equity market returns. Furthermore, we model the daily and one-week-ahead market risks with the conditional volatilities generated from the FIAPARCH models and document that the skewed Student-t distribution yields the best results in predicting one-day-ahead VaR forecasts for all the stock markets. The results also reveal that the prediction power of the models deteriorate for longer forecasting horizons.