scholarly journals Forecasting Foreign Exchange Rate And Consumer Price Index With Arima Model: The Case Of Turkey

2019 ◽  
Vol 7 (08) ◽  
Author(s):  
Abraham Deka ◽  
Nil Gunsel Resatoglu
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Moving Average ◽  
Arima Model ◽  
Consumer Price Index ◽  
Current Data ◽  
Foreign Exchange Rate ◽  
Short Run ◽  
To Come

The high and increasing rate of uncertainty in the world’s Foreign Exchange Market (FEM) is one that poses a great concern to the market players, traders and policy makers. There is need to come up with reliable and sophisticated models foreign exchange rate and its determinants in order to predict their future values hence reduce the risks. This paper makes use of the Autoregressive Integrated Moving Average (ARIMA) model to forecast the foreign exchange rate of Turkey and inflation a major determinant of foreign exchange rate. This paper provides that ARIMA(3,1,3) is the best ARIMA model for forecasting foreign exchange rate of Turkey and that ARIMA(1,1,4) is the best ARIMA model for forecasting Turkey’s inflation (CPI). The paper also postulates that ceteris Paribas the foreign exchange rate of the lira against the dollar will be stable in the short run future. However, with the passage of time the suggested model of forecasting foreign exchange rate and inflation of Turkey should always be updated with current data. ACF, PACF, AIC and BIC together with forecasting performance measures like MAE, MAPE, Bias proportion, RMSE and Theil U statistics are very useful in the process of best model selection.

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.

Modeling Foreign Exchange Rate Pass-Through using the Exponential GARCH

2014 ◽  
pp. 139-190
Author(s):  
Baoying Lai ◽  
Nathan Lael Joseph
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Rate ◽  
Pricing To Market ◽  
Export Prices ◽  
Long Run ◽  
Short Run ◽  
Pass Through ◽  
Exchange Rate Pass Through ◽  
Meat Sector

In this chapter, the authors use an EGARCH-ECM to estimate the pass-through effects of Foreign Exchange (FX) rate changes and changes in producers’ prices for 20 U.K. export sectors. The long-run adjustments of export prices to FX rate changes and changes in producers’ prices are within the range of –1.02% (for the Textiles sector) and –17.22% (for the Meat sector). The contemporaneous Pricing-To-Market (PTM) coefficients are within the range of –72.84% (for the Fuels sector) and –8.05% (for the Textiles sector). Short-run FX rate pass-through is not complete even after several months. Rolling EGARCH-ECMs show that the short and long-run effects of changes in FX rate and producers’ prices vary substantially, as do asymmetry and volatility estimates before equilibrium is achieved.

scholarly journals New hybrid fuzzy time series model: Forecasting the foreign exchange market

2020 ◽  
Vol 66 (3) ◽  
pp. 263
Author(s):  
José Eduardo Medina Reyes ◽  
Salvador Cruz Aké ◽  
Agustín Ignacio Cabrera Llanos
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Foreign Currency ◽  
Time Series Data ◽  
Arima Model ◽  
Fuzzy Time Series ◽  
Series Data ◽  
Exchange Market

<span class="fontstyle0">This paper develops the comparison of the volatility prediction of the traditional<br />models (ARIMA, EGARCH, and PARCH), with respect to the Hybrid Fuzzy Time<br />Series and Fuzzy ARIMA Model of Tseng’s and Tanaka’s methodology (FTS-Fuzzy<br />ARIMA Tseng and FTS-Fuzzy ARIMA Tanaka). For this purpose, it applies to the<br />time series of the foreign exchange market to forecast the foreign currency exchange rate of Mexican Pesos against American Dollar, the growth rate of the time series data in a daily format from January 2008 to December 2017, to perform the sample test is used January 2018. The main result is that the models based on fuzzy theory generate a better estimate of the volatility of the foreign exchange rate.</span> <br /><br />

Volatility Spillover Structure of Stock and Foreign Exchange Market between Korea, Japan, and Hong Kong

2006 ◽  
pp. 162-182
Author(s):  
Masayuki Susai
Keyword(s):  
Exchange Rate ◽  
Stock Returns ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Exchange Rate Volatility ◽  
Foreign Exchange Rate ◽  
Volatility Spillover ◽  
Exchange Market ◽  
Portfolio Risk ◽  
International Portfolio

Highly developed IT technology can be the source of volatility spillover between markets located in other countries. In this chapter, we investigate the interrelationship between stock returns in North East Asian countries and the effect of foreign exchange rate volatility on the interrelationship between stock returns. We bring out clear simultaneous interrelationship between stock return and foreign exchange volatility. Focusing on covariance of each asset returns, if we do not take foreign exchange rate volatility into account when we evaluate our international portfolio, the portfolio risk might be underevaluated. The analysis shows that foreign exchange market turbulence might be accompanied by increase in covariance between stock returns. Just after the Asian currency crisis, the relationship between stock returns and foreign exchange turbulence might have changed. For managing international portfolio risk, we should be aware of foreign exchange risk and structural change in covariance between stock returns.

Investigating the Long-run and the Short-run Relationship Between Domestic Macroeconomic Forces and Indian Equity Market: Evidence Based on ARDL Bounds Testing Approach

Paradigm ◽  
2021 ◽  
pp. 097189072110037
Author(s):  
Animesh Bhattacharjee ◽  
Joy Das
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Equity Market ◽  
Foreign Exchange Rate ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Understanding the effect of domestic macroeconomic forces on equity market is essential since macroeconomic forces have a systematic effect on the equity market returns. The present study uses monthly observations from India for the period from January 2012 to December 2019 to investigate the long-run and short-run relationship between the domestic macroeconomic forces and equity market. The study employed the autoregressive distributed lag (ARDL) bounds testing approach and pair-wise granger causality test to attain the objective. The long-run empirical results indicated that the Indian equity market and the domestic macroeconomic forces are cointegrated. The long-run coefficients of foreign exchange rate and money supply are found to be significant. The short-run coefficients suggest that money supply, inflation and foreign exchange rate significantly influence the Indian equity market. The study also observed the presence of feedback mechanism between foreign exchange rate and Indian equity market. The study provides the policy and managerial implications.

scholarly journals Efficiency of the Black Foreign Exchange Market

2019 ◽  
Vol 11 (2) ◽  
pp. 165
Author(s):  
Ali Farhan Chaudhry ◽  
Mian Muhammd Hanif ◽  
Sameera Hassan ◽  
Muhammad Irfan Chani
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Weak Form ◽  
Exchange Rate Policy ◽  
Foreign Exchange Rate ◽  
Ratio Test ◽  
Exchange Market ◽  
Policy Makers

This empirical study is first of its nature to examine the weak-form of efficiency for unofficial foreign exchange market of Pakistan proxied by Japanese Yen (JPY/PKR), Swiss Franc (CHF/PKR), British Pound (GBP/PKR), and US Dollar (USD/PKR) exchange rates. For this we have employed Ljung Box Q-test, unit root tests including Dickey-Fuller (Dickey 1979), Augmented Dickey-Fuller (Dickey 1981) tests and Phillips and Perron (1988) test, Durbin Watson test, Runs-test, and Variance ratio test by using unofficial foreign exchange rate time series of Yen/PKR, CHF/PKR, GBP/PKR and USD/PKR from 1994M07 to 2001M06. Empirical results lead to the conclusion that the unofficial foreign exchange market of Pakistan is weak-form efficiency. The implications of this empirical research are of great importance for designing foreign exchange policy i.e. policy makers (be it accounting, export/import or public policy makers) are to consider fluctuations in unofficial foreign exchange rates while designing official foreign exchange rate policy of developing country like Pakistan. Further, policymakers can enhance the efficiency of official foreign exchange market by intervention subject to a widening of unofficial foreign exchange premium beyond a certain limit in developing countries like Pakistan.

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.

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