Suchergebnisse

Financial time series analysis is an important research area that can predict various economic indicators such as the foreign currency exchange rate. In this paper, a deep-learning-based model is proposed to forecast the foreign exchange rate. Since the currency market is volatile and susceptible to ongoing social and political events, the proposed model incorporates event sentiments to accurately predict the exchange rate. Moreover, as the currency market is heavily dependent upon highly volatile factors such as gold and crude oil prices, we considered these sensitive factors for exchange rate forecasting. The validity of the model is tested over three currency exchange rates, which are Pak Rupee to US dollar (PKR/USD), British pound sterling to US dollar (GBP/USD), and Hong Kong Dollar to US dollar (HKD/USD). The study also shows the importance of incorporating investor sentiment of local and foreign macro-level events for accurate forecasting of the exchange rate. We processed approximately 5.9 million tweets to extract major events&rsquo ; sentiment. The results show that this deep-learning-based model is a better predictor of foreign currency exchange rate in comparison with statistical techniques normally employed for prediction. The results present evidence that the exchange rate of all the three countries is more exposed to events happening in the US.

The effects of an adverse change in market sentiment, defined as a temporary increase in the premium faced by domestic borrowers on world financial markets, are studied in an intertemporal optimizing framework with imperfect capital mobility. Firms' demands for working capital are financed by bank credit. The shock leads to a rise in domestic interest rates, capital outflows and a drop in official reserves, a reduction in bank deposits and loans, a contraction in output, and an increase in unemployment. These predictions are consistent with Argentina's economic downturn in the immediate aftermath of the Mexican peso crisis of December 1994.

Sterilized foreign exchange market interventions are commonly dismissed by economists as an ineffective policy instrument. Nevertheless many central banks operating under independently floating exchange rates regimes are often engaged in sales and purchases of foreign exchange in order to manipulate the current value of their currencies. In this paper we argue that the skepticism of many economists can be ascribed to their orientation on fundamental-based, efficient-market exchange rate models. Given their weak empirical support, however, it is unreasonable to evaluate the effectiveness of sterilized foreign exchange interventions against the background of this class of models. Therefore, the purpose of this paper is to investigate the effectiveness of sterilized foreign exchange market interventions on the basis of a more suitable model. Using a chartist-fundamentalist model we show that central banks can influence exchange rates by using sterilized interventions. In particular, turning points occur earlier and exchange rate misalignments are substantially reduced.

This paper tries to clarify the question of whether foreign exchange market interventions conducted by the Bank of Japan are important for the dollar-yen exchange rate in the long run. Our strategy relies on a re-examination of the empirical performance of a monetary exchange rate model. This is basically not a new topic; however, we put our focus on two new questions. Firstly, does the consideration of periods of massive interventions in the foreign exchange market help to uncover a potential long-run relationship between the exchange rate and its fundamentals? Secondly, do Forex interventions support the adjustment towards a long-run equilibrium value? Our overall results suggest that taking periods of interventions into account within a monetary model does improve the goodness of fit of an identified longrun relationship to a significant degree. Furthermore, Forex interventions increase the speed of adjustment towards long-run equilibrium in some periods, particularly in periods of coordinated forex interventions. Our results indicate that only coordinated interventions seem to stabilize the dollar-yen exchange rate in a long-run perspective. This is a novel contribution to the literature.