• 제목/요약/키워드: Exchange Rate Market

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Determinants and Prediction of the Stock Market during COVID-19: Evidence from Indonesia

  • GOH, Thomas Sumarsan;HENRY, Henry;ALBERT, Albert
    • The Journal of Asian Finance, Economics and Business
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    • 제8권1호
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    • pp.1-6
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    • 2021
  • This research examines the stock market index determinants and the prediction using the FFT curve fitting of the Jakarta Stock Exchange (JKSE) Composite Index during the COVID-19 pandemic. This paper has used daily data of Jakarta Stock Exchange (JKSE) Composite Index, interest rate, and exchange rate from 15 October 2019 to 15 September 2020, and a total of 224 observations, retrieved from Indonesia Stock Exchange (IDX), Indonesia Statistics Central Bureau and Observation & Research of Taxation. The study covers descriptive statistics, multicollinearity test, hypothesis tests, determination test, and prediction using FFT curve fitting. The results unveil four fresh and robust evidence. Partially, the interest rate has affected positively and significantly the stock market index. Partially, the exchange rate has affected negatively and significantly the stock market index. The F-test result, interest rate, and exchange rate have significantly affected the stock market index (JKSE) simultaneously. Furthermore, the FFT curve fitting has predicted that the stock market fluctuates and increases over time. The results have shown a strong influence of the independent variables and the dependent variable. The value of Adjusted R-Square is 0.719, which means that the independent variables have simultaneously impacted the dependent variable for 71.9%; other factors have influenced the remaining 28.1%.

Emerging Trends of Financial Markets Integration: Evidence from Pakistan

  • Ahmed, Irfan
    • The Journal of Asian Finance, Economics and Business
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    • 제1권1호
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    • pp.15-21
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    • 2014
  • This study investigates extensively the integration of various segments of financial markets (i.e. money market, lending and deposit market, exchange rate market, and capital market) both domestically and internationally. Cointegration approach is employed in the study to find out long term relationship among the variables. Data are on a monthly interval for the period spreads over 2001 to 2010. The results show no evidence of cointegration between money market and exchange rate market and between capital market and exchange rate market of Pakistan. On the other hand, international financial markets integration is also investigated and the findings revealed that domestic money market rates of Pakistan and USA are not cointegrated. Whereas, an evidence of cointegration between capital markets of Pakistan and USA is found in this study.

우리나라 수산물 수입시장에서 수출국간의 가격경쟁구조 및 환율변화가 수출가격에 미치는 영향 (The Effect of Price Competition Structure and Change of Exchange Rate among Exports Countries to the Korea's Fish Import Market)

  • 김기수;임은선
    • 수산경영론집
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    • 제40권1호
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    • pp.27-49
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    • 2009
  • Recently, the Korea's economy concerns the second money crisis because of the rapid increase of the exchange rate. The Korea's economy which is very dependent on the foreign trade is more sensitive to the change of exchange rates. There are many literatures which analyze the effects of variations of the exchange rates on the secondary and tertiary industries such as the manufacturing industry and IT(Information Technology). But there have been no studies which try to figure out the effects of variations of exchange rate on the primary industries, especially, fisheries' industry. Therefore this paper tries to analyze the effect of price competition structure and the change of exchange rate on foreign fisheries exporting prices in Korea's fisheries import market. This study utilizes OLS(Ordinary Least Squares Analysis) for the analysis in the market of frozen yellow corvina, hairtail, angler fish which are major fisheries importable in Korea. The results show that the exporting country which has the highest market share is more sensitive to the change of the exchange rates itself than that of the other exporting countries' price when it starts to set up its exporting price. And the exporting countries which have low market share are more sensitive to the change of price which country has the highest market share than that of price whose countries have low market share and those of their exchange rate. Also we can find out that the countries which have similar market share try to set up price-setting strategy in the opposite direction. In other words, one country tries to bid up its price, other countries response to rival country by lowering their prices. In the consideration of the fact that most exporting countries aren't affected by Korea's fisheries' prices, the exporting countries in Korea's fisheries import market are more sensitive to the prices of other exporting countries than that of Korea's. This result indicates that the price leader-follower model could be applicable to the Korea's fisheries import market.

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자본유출입 급변동과 외환 및 유통시장 안정성에 관한 연구 (A Study on the Sudden Stop in Capital Flows and Foreign Exchange and Distribution Market Stability)

  • 김윤철;이명훈
    • 유통과학연구
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    • 제14권12호
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    • pp.79-87
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    • 2016
  • Purpose - Since 1990, the sudden stop in capital flows has caused the economic crisis. The purpose of this research is to suggest the policy measures to mitigate the risk of the sudden stop in capital flows. To this end, we examine the theoretical framework and analyze the case study for countries which are faced with the sudden stop. Also we examine the structural problems of the foreign exchange market in Korea and derive the policy implications to prevent the sudden stop. Research design, data, and methodology - The criteria of whether the sudden stop in capital flows occurs are based upon Calvo et al. (2008). In case the proxy variable for the balance of capital account decreases from the average by over twice standard deviation, we determine that the sudden stop occurs for that country. The sample period is from January 1990 to December 2008, as in Calvo (2014). The sample countries are 17 developed countries and 19 emerging market countries, which are different from those of the previous papers as Agosin and Huaita (2012), and Calvo (2014). When the exchange market pressure index(EMPI) is deviated from the average by over three times standard deviation, we determine that the foreign exchange market is unstable for that country. Results - We find that the characteristics of the sudden stop in capital flows are the bunching or contagion among countries, the rapid drop in real effective exchange rate, and the huge decrease in foreign exchange reserves. Many countries tried to increase foreign exchange reserves and regulate capital flows. Also the foreign exchange market in Korea are found to be the volatile exchange rate, the vulnerable external debt and careless management of the foreign exchange derivatives transaction risk. Conclusions - To lessen the risk in the sudden stop of capital flows, this research suggests the some useful policy measures. To enhance the foreign exchange and distribution market stability, we should improve the price mechanism of exchange rate, hold the appropriate level of foreign exchange reserves, prevent excessive inflows of foreign exchange and promote sound transactions of foreign exchange derivatives.

한국의 외환시장 효율성 검정 - 미국, 일본, 영국, 및 유로지역과의 비교를 중심으로 - (Testing on the Efficiency of Korean FX Market Implemented by USD, JPY, GBP, and EURO)

  • 이현재
    • 국제지역연구
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    • 제13권1호
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    • pp.103-122
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    • 2009
  • 본 연구는 예상환율변화율, 예상인플레이션 차이, 및 이자율 차이를 활용하여 한국의 외환시장, 실물시장, 및 화폐시장 간의 상호관계를 분석하였으며, 계량경제기법으로는 합리적 기대가설과 GARCH-M 모형을 적용하였다. 또한, 국제 Fisher 효과를 분석하여 국내외의 실질이자율이 국가간 자본유출입에 미치는 영향도 분석하였다. 분석결과에 의하면 한국의 경우 외환시장의 효율성을 실물시장 및 화폐시장간의 유기적인 관계로 이해하기에는 한계가 있지만 외환시장에서 결정되는 환율은 국가간 실질이자율의 충격에 영향을 받는 것으로 판명되었다. 따라서 외환시장의 안정성을 확보하기 위해서는 국가간 실질이자율의 차이를 안정적으로 유지하는 정책을 수행하여야 할 것이다.

Capturing the Short-run and Long-run Causal Behavior of Philippine Stock Market Volatility under Vector Error Correction Environment

  • CAMBA, Abraham C. Jr.
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.41-49
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    • 2020
  • This study investigates the short-run and long-run causal behavior of the Philippine stock market index volatility under vector error correction environment. The variables were tested first for stationarity and then long-run equilibrium relationship. Moreover, an impulse response function was estimated to examine the extent of innovations in the independent variables in explaining the Philippine stock market index volatility. The results reveal that the volatility of the Philippine stock market index exhibit long-run equilibrium relationship with Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil prices. The short-run dynamics-based VECM estimates indicate that in the short-run, increases (i.e., depreciation) in Peso-Dollar exchange rate cause PSEI volatility to increase. As for the London Interbank Offered Rate, it causes increases in PSEI volatility in the short-run. The adjustment coefficients used with the long-run dynamics validates the presence of unidirectional causal long-run relationship from Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil prices to PSEI volatility, and bidirectional causal long-run relationship between PSEI volatility and London Interbank Offered Rate. The impulse response functions developed within the VECM framework demonstrate the positive and negative reactions of PSEI volatility to unanticipated Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil price shocks.

A GARCH-MIDAS approach to modelling stock returns

  • Ezekiel NN Nortey;Ruben Agbeli;Godwin Debrah;Theophilus Ansah-Narh;Edmund Fosu Agyemang
    • Communications for Statistical Applications and Methods
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    • 제31권5호
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    • pp.535-556
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    • 2024
  • Measuring stock market volatility and its determinants is critical for stock market participants, as volatility spillover effects affect corporate performance. This study adopted a novel approach to analysing and implementing GARCH-MIDAS modelling methods. The classical GARCH as a benchmark and the univariate GARCH-MIDAS framework are the GARCH family models whose forecasting outcomes are examined. The outcome of GARCH-MIDAS analyses suggests that inflation, interest rate, exchange rate, and oil price are significant determinants of the volatility of the Johannesburg Stock Market All Share Index. While for Nigeria, the volatility reacts significantly to the exchange rate and oil price. Furthermore, inflation, exchange rate, interest rate, and oil price significantly influence Ghanaian equity volatility, especially for the long-term volatility component. The significant shock of the oil price and exchange rate to volatility is present in all three markets using the generalized autoregressive conditional heteroscedastic-mixed data sampling (GARCH-MIDAS) framework. The GARCH-MIDAS, with a powerful fusion of the GARCH model's volatility-capturing capabilities and the MIDAS approach's ability to handle mixed-frequency data, predicts the volatility for all variables better than the traditional GARCH framework. Incorporating these two techniques provides an innovative and comprehensive approach to modelling stock returns, making it an extremely useful tool for researchers, financial analysts, and investors.

국고채, 금리 스왑 그리고 통화 스왑 가격에 기반한 외환시장 환율예측 연구: 인공지능 활용의 실증적 증거 (A Study on Foreign Exchange Rate Prediction Based on KTB, IRS and CCS Rates: Empirical Evidence from the Use of Artificial Intelligence)

  • 임현욱;정승환;이희수;오경주
    • 지식경영연구
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    • 제22권4호
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    • pp.71-85
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    • 2021
  • 본 연구는 채권시장과 금리시장의 지표를 이용한 외환시장 환율예측 모델을 만드는데 있어 어떤 인공지능 방법론이 가장 적합한지 밝혀내는데 그 목적이 있다. 채권시장의 대표 상품인 국고채와 통안채는 위험회피 상황이 올 때 대규모로 매도되어지고 그런 경우 환율이 상승하는 모습을 자주 보여주었고, 금리시장에서 통화 스왑 (Cross Currency Swap) 가격은 달러 유동성 문제가 생길 때 주로 하락하였으며, 그 움직임은 환율의 상승에 직간접적인 영향을 미쳐온 점 등을 고려하면, 채권시장과 금리시장에서 거래되는 상품의 가격과 움직임은 외환시장에도 직간접적인 영향을 주고 있으며, 세 시장 사이엔 상호 유기적이고 보완적인 관계가 있다고 볼 수 있다. 지금까지 채권시장, 금리시장, 그리고 외환시장 사이의 관계와 연관성을 밝히는 연구는 있어왔으나, 과거 많은 환율예측 연구들이 주로 GDP, 경상수지 흑자/적자, 인플레이션 등 거시적인 지표를 기반으로 한 연구에 집중되어 왔으며, 채권시장과 금리시장 지표를 기반으로 인공지능을 활용하여 외환시장의 환율을 예측하는 적극적인 연구는 아직 진행되지 않았다. 본 연구는 채권시장 지표와 금리시장 지표를 기반으로, 비선형데이터 분석에 적합한 인공신경망(Artificial Neural Network) 모델과, 선형데이터 분석에 적합한 로지스틱 회귀분석 (Logistic regression), 그리고 비선형/선형데이터 분석에 활용 가능한 의사결정나무 (Decision Tree)를 각각 사용하여 환율예측 모델을 만들고 그 수익률을 비교하여 어떤 모델이 가장 외환시장 환율 예측을 하는데 적합한지 알려준다. 또한, 본 연구는 주식시장, 금리시장, 오일시장, 그리고 외환시장 환율 등 비선형적 시계열 데이터 분석에 많이 사용되어진 인공신경망 모델이 채권시장과 금리시장 지표를 기반으로 한 외환시장 환율예측 모델에 가장 적합한 방법론을 제공하고 있다는 것을 증명한다. 채권시장, 금리시장, 그리고 외환시장 간의 단순한 연관성을 밝히는 것을 넘어, 세 시장 간의 거래 신호를 포착하여 적극적인 상관관계를 밝히고 상호 유기적인 움직임을 증명하는 것은 단순히 외환시장 트레이더 들에게 새로운 트레이딩 모델을 제시하는 것뿐만 아니라 금융시장 전체의 효율성을 증가시키는데 기여할 것이라 기대한다.

FTA 이후, 국내 수입수산물 가격의 환율전가도 변화 (The Change in Exchange Rate Pass-Through into Import Price of the Post-FTA Import Market for Fishery Products in South Korea)

  • 임은선
    • 수산경영론집
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    • 제53권2호
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    • pp.21-41
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    • 2022
  • The effect of change in exchange rates on an economy is very important, especially, to a small open economy like South Korea. I explore whether Free Trade Agreements (FTAs) have positive influences on exchange rate-pass through import price of import market for fishery products in South Korea. Competition among FTA partners is enhanced after FTAs are effective. I expect that the extent to which are exchange rate pass-through (hereafter, ERPT) into import price of fishery products (in terms of Korea currency) would be reduced since the import market for fishery products in South Korea is an oligopolistic market. Specifically, I investigate two research questions with six South Korea's FTA partners-Norway, Thailand, Peru, U.S., China and Vietnam. First, whether the extent to which are exchange rate pass-through into import price of fishery products from six FTA partners would decrase in the post-FTA era; seconds, the size of reduction has a negative relation with the size of their market share in the import market for fishery products in South Korea if it decreases. The empirical results indicate that the degree of ERPT into import price from other FTA partners than Norway has been reduced after FTA, statistically and significantly; however, I do not find the evidence that the size of reduction is related to their market share. The findings in this study imply that FTAs have negative effects on producers' economic welfare in South Korea's fishery industry by reducing the extent to which are exchange rate pass-through as well as reducing tariff barriers.

The Impacts of Oil Price and Exchange Rate on Vietnamese Stock Market

  • NGUYEN, Tra Ngoc;NGUYEN, Dat Thanh;NGUYEN, Vu Ngoc
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.143-150
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    • 2020
  • This study aims to investigate the effect of oil price and exchange rate on the two Vietnamese stock market indices: VN index and HXN index. This study uses the daily data from August 1st 2000 to October 25th 2019 of the two Vietnamese stock indices: VN index and HNX index, the two oil price indices: BRENT and WTI, and the two exchange rates: US dollar to Vietnamese dong and Euro to Vietnamese dong. Due to the presence of heteroskedasticity in our data, we use GARCH (1,1) regression model to perform our analysis. Our findings show that the oil price has a significant positive effect on the two Vietnamese stock market indices. In terms of the stock index volatility, both the VN index and HNX index volatilities are negatively impacted by the return of oil price. While the conclusion about the impact of oil price remained consistent through all three robustness tests, the effect of exchange rate on Vietnamese stock market indices is not consistent. We find thatchanges of the USD/VND exchange rate significantly impact the return and volatility of HNX index only in GARCH (1,1) setting. Our analysis also survives a number of robustness tests.