Foreign exchange market

About: Foreign exchange market is a research topic. Over the lifetime, 6661 publications have been published within this topic receiving 153384 citations. The topic is also known as: forex & FX.

Dynamic Expectation Formation in the Foreign Exchange Market

Abstract: This paper investigates the time-varying nature of expectation formation rules for institutional investors in the foreign exchange market. Using a unique dataset of survey expectations for four exchange rates, we first distinguish three different general rules. We find a momentum rule, a fundamental rule, and a rule that takes advantage of interest differentials between countries. Apart from heterogeneity in expectation formation rules, we show that the rules are time-varying conditional on a number of different factors, such as the sign of the most recent return, the forecast horizon, the distance to the PPP rate, and the extent to which the rule produces forecast errors vis-a-vis the market exchange rate. Although we find dynamics in expectation formation for all four exchange rates, the results for the currencies against the Japanese yen deviate from the others.

Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems

Abstract: High-frequency trading is a method of intervention on the financial markets that uses sophisticated software tools, and sometimes also hardware, with which to implement high-frequency negotiations, guided by mathematical algorithms, that act on markets for shares, options, bonds, derivative instruments, commodities, and so on. HFT strategies have reached considerable volumes of commercial traffic, so much so that it is estimated that they are responsible for most of the transaction traffic of some stock exchanges, with percentages that, in some cases, exceed 70% of the total. One of the main issues of the HFT systems is the prediction of the medium-short term trend. For this reason, many algorithms have been proposed in literature. The author proposes in this work the use of an algorithm based both on supervised Deep Learning and on a Reinforcement Learning algorithm for forecasting the short-term trend in the currency FOREX (FOReign EXchange) market to maximize the return on investment in an HFT algorithm. With an average accuracy of about 85%, the proposed algorithm is able to predict the medium-short term trend of a currency cross based on the historical trend of this and by means of correlation data with other currency crosses using techniques known in the financial field with the term arbitrage. The final part of the proposed pipeline includes a grid trading engine which, based on the aforementioned trend predictions, will perform high frequency operations in order to maximize profit and minimize drawdown. The trading system has been validated over several financial years and on the EUR/USD cross confirming the high performance in terms of Return of Investment (98.23%) in addition to a reduced drawdown (15.97 %) which confirms its financial sustainability.

Exchange rate economics

Abstract: Volume 1 Exchange rate determination - theory and evidence: groundwork theories evidence new directions. Volume 2 Foreign exchange market efficiency: expectations and market efficiency rationalizing the rejection of the simple efficiency hypothesis "news" and the exchange rate international parity conditions.

Daily Bundesbank and federal reserve interventions: Are they a reaction to changes in the level and volatility of the DM/$-rate?

Abstract: This paper reports on the results of an empirical investigation into the objectives of daily foreign exchange market intervention by the Deutsche Bundesbank and the Federal Reserve System in the U.S. dollar-Deutsche Mark market. Tobit analysis is implemented to estimate the intervention reaction functions consistently. It is found that an increase in the conditional variance in daily exchange rate returns derived from a GARCH model estimated in the paper, led the Bundesbank and the Federal Reserve to increase the volume of intervention, both in case of dollar-sales and purchases on account of their leaning against the wind policy.