Explaining exchange rate movements: an application of the market microstructure approach on the Pakistani foreign exchange market

2010 ◽  
Vol 44 (1) ◽  
pp. 255-265 ◽  
Author(s):  
Abdul Jalil ◽  
Mete Feridun
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Market Microstructure ◽  
Foreign Exchange Market ◽  
Exchange Market ◽  
Exchange Rate Movements

The Effectiveness of Fed Intervention on the USD/DM Foreign Exchange Market

2006 ◽  
Vol 6 (2) ◽  
pp. 1850088 ◽  
Author(s):  
Zhaodan Huang ◽  
Stephen Neun
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Policy Option ◽  
Exchange Market ◽  
Event Window ◽  
Study Approach ◽  
Exchange Rate Movements ◽  
The Exchange Rate ◽  
Exchange Rate Level

This study empirically examines the effectiveness of Fed intervention on the USD/DM exchange market using an event study approach. The event window is defined as 4 (8) days prior/post an intervention. Based on the empirical analysis, the results show that when the Fed follows an "against the wind" policy, exchange rate movements are smoothed and may switch direction. The results are robust and hold for different event window definitions and sample ranges. To test whether the results are due to the exchange rate movement itself, we conduct a simple test using customer trades by the Fed. The results do not exhibit a systematic pattern. We also find that a joint intervention has a stronger impact on the exchange rate level when the Fed buys US dollars. The policy implication of our findings is that intervention in foreign exchange markets on the part of the Fed to impact the value of the US dollar is a viable policy option.

Currency Order Flow and Exchange Rate Determination: Empirical Evidence from the Malaysian Foreign Exchange Market

2018 ◽  
Vol 19 (4) ◽  
pp. 902-920
Author(s):  
Abolaji Daniel Anifowose ◽  
Izlin Ismail ◽  
Mohd Edil Abd Sukor
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Empirical Test ◽  
Order Flow ◽  
Exchange Market ◽  
Vector Autoregressive ◽  
Exchange Rate Dynamics ◽  
Currency Exchange ◽  
Exchange Rate Movements

This article presents empirical test results of Malaysian foreign exchange market microstructure assessment of exchange rate dynamics. We apply vector autoregressive (VAR) model to estimate the influential role of currency order flow in the determination of the currency exchange rate for the Malaysian ringgit (MYR) against the US dollar (USD). We investigate whether currency order flow captures the movements of exchange rate of MYR against USD, and how the long-term and short-term components impact the relative estimation of MYR in the international market. We, construct a measure of order flow in the Malaysian foreign exchange market to reflect the pressure of currency excess demand. Our focus is on the cumulative currency order flow and the exchange rate relationship of MYR and USD. A hybrid model of order flow and exchange rate dynamics proposed by Evans and Lyons (2002a) is applied to the Malaysian foreign exchange market (MYR/USD) to analyse a dataset of every 15-minute currency order flow and exchange rate movements from January 2010 to December 2015. Our dataset has unique features in terms of the quality of the data, extensive period and precise high frequency. Our results show that currency order flow explains an important portion of the movements in the MYR–USD exchange rate.

scholarly journals The microstructure of foreign exchange rate and foreign exchange rate formation

2005 ◽  
Vol 50 (164) ◽  
pp. 63-79
Author(s):  
Vladimir Vuckovic
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Market Microstructure ◽  
Foreign Exchange Market ◽  
Foreign Currency ◽  
Stock Exchange ◽  
Foreign Exchange Rate ◽  
Exchange Market ◽  
Market Participants ◽  
Essential Question

The subject matter of market microstructure analysis are processes through which investor activities are transferred to quantities and prices. This direction indicates the fact that has been unjustifiably neglected in fundamental theories ? foreign exchange rate results from the interactions between market participants. Spot foreign exchange market can best be described as a decentralised market with a number of dealers. There is no organised physical place (stock exchange) where dealers meet their clients nor is there an electronic system which enables quotations of all dealers in a currency market to be simultaneously shown on the screen. The theory of order flows has resulted from the answer to the essential question of market microstructure: do trading mechanisms affect the price formation process of the trading subject, and how do they affect it. Information is scattered and not available to all subjects in an aggregate form, which is the consequence of a decentralised structure, lack of regulations and nontransparent trading on the foreign exchange market. In such a setting, market participants are incessantly aggregating signals based on scattered information, and no sooner than collective orders for foreign currency sales and purchases are formed do they build into the foreign exchange rate in the process of new information trading. are a good explanation for changes in the foreign exchange rate. Several studies have shown that order flows.

scholarly journals BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET

2019 ◽  
Vol 1 (1) ◽  
pp. 70-77
Author(s):  
Ferdiansyah Ferdiansyah ◽  
Edi Surya Negara ◽  
Yeni Widyanti
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Investment Decisions ◽  
Market Value ◽  
Develop Model ◽  
Support Vector ◽  
Prediction Tool ◽  
Exchange Market ◽  
Support Vector Classifier

Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market

scholarly journals HEDGING CURRENCY RISKS IN INTERNATIONAL BUSINESS USING THE OPPORTUNITIES OF THE INTERNATIONAL FOREIGN EXCHANGE MARKET

2021 ◽  
Author(s):  
Olena Liegostaieva
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
International Business ◽  
Foreign Exchange Market ◽  
Foreign Currency ◽  
Exchange Market ◽  
Currency Risk ◽  
Exchange Rate Fluctuations ◽  
Current Value ◽  
Financial Result

The article is devoted to the study of currency risk hedging in international business. The article notes that the international foreign exchange market is the largest and fastest growing of all world markets. The characteristic features of the international currency market are substantiated and offered. It is also noted that foreign exchange transactions provide economic ties between participants located on different sides of state borders: settlements between firms from different countries for the supply of goods and services, foreign investment, international tourism and business travel. It is determined that hedging of currency risks is the protection of funds from the unfavorable movement of exchange rates, and is carried out in fixing the current value of funds by concluding an agreement on the foreign exchange market. When hedging, the risk of exchange rate changes disappears, and this makes it possible to forecast the company's activities and see the financial result, which is not distorted by exchange rate fluctuations, which will allow you to determine product prices, calculate profits, etc. The main difference between hedging and other types of transactions is that its purpose is not to generate additional profits, but to reduce the risk of potential losses, as risk reduction is almost always necessary to pay, hedging, of course, involves additional costs. Hedging is a way to improve business planning. An enterprise wishing to use this service shall pledge the specified amount, from which losses on its positions will be deducted. In today's conditions, thanks to the foreign exchange market, there is a very reliable way to hedge currency risk. This method is to fix the current value of funds by concluding agreements in this market. With hedging, the company eliminates the risk of exchange rate fluctuations, and this allows you to forecast activities and see the financial result, which is not changed by exchange rate fluctuations. Allows you to pre-determine product prices, determine profits, etc. Thus, the principle of hedging in international business is to open a currency position in a foreign currency account for future transactions to convert funds.

Optimistic and pessimistic economic sentiments and US Dollar exchange rate

2021 ◽  
Author(s):  
Sonia Kumari ◽  
Suresh Kumar Oad Rajput ◽  
Rana Yassir Hussain ◽  
Jahanzeb Marwat ◽  
Haroon Hussain
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Ordinary Least Squares ◽  
Exchange Market ◽  
Dollar Exchange Rate ◽  
The Us ◽  
Short Run ◽  
Us Dollar ◽  
The Exchange Rate

This study investigates the affiliation of various proxies of economic sentiments and the US Dollar exchange rate, mainly focusing on the real effective exchange rate of USD pairing with three other major currencies (USDEUR, USDGBP, and USDCAD). The study has employed Google Trends data of economy optimistic and pessimistic sentiments index and survey-based economy sentiments data on monthly basis from January 2004 to December 2018. The study engaged Ordinary Least Squares (OLS) and Auto-Regressive Distributed Lag (ARDL) estimation techniques to evaluate the short-run and long-run effects of economy-related sentiments and macroeconomic variables on the exchange rate. The results from the study found that Economy Optimistic Sentiments Index (EOSI) and Economy Pessimistic Sentiments Index (EPSI) appreciate and depreciate the US Dollar exchange rate in the short-run, respectively. Our sentiment measures are robust to survey-based Michigan Consumer Sentiment Index (MSCI), Consumer Confidence Index (CCI), and various macroeconomic factors. The MSCI and CCI sentiments show a long-term impact on the foreign exchange market. This study implies that economic sentiments play a vital role in the foreign exchange market and it is essential to consider behavioral aspects when modeling the exchange rate movements.

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