Academic literature on the topic 'Foreign exchange Econometric models'

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Journal articles on the topic "Foreign exchange Econometric models"

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Islam, Tamanna, Ashfaque A. Mohib, and Shahnaz Zarin Haque. "Econometric Models for Forecasting Remittances of Bangladesh." Business and Management Studies 4, no. 1 (December 13, 2017): 1. http://dx.doi.org/10.11114/bms.v4i1.2860.

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At present, the remittance of Bangladesh (RB) is the largest source of foreign exchange earning of the country. The RB plays a critical role in alleviating the foreign-exchange constraint and supporting the balance of payments, enabling imports of capital goods and raw materials for industrial development. Remittance from overseas migrant workers certainly increases the income disparity between classes of the rural society. Therefore forecasting plays an important role to know the future situation of economic condition. This paper employed the prospective data on RB to derive a unique and suitable forecasting model. The data were collected from Bangladesh Bank (BB) during January, 1998 to December, 2003. The Autoregressive Integrated Moving Average (ARIMA) and the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models were used to find out the best one. The findings indicated that the ARIMA (0,1,1) (0,2,1)12 and the GARCH (2,1) models were appropriate for our data and the GARCH (2,1) model appeared to be the best one between these.
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Chen, An-Sing, and Mark T. Leung. "Dynamic Foreign Currency Trading Guided by Adaptive Forecasting." Review of Pacific Basin Financial Markets and Policies 01, no. 03 (September 1998): 383–418. http://dx.doi.org/10.1142/s0219091598000247.

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The difficulty in predicting exchange rates has been a long-standing problem in international finance as most standard econometric methods are unable to produce significantly better forecasts than the random walk model. Recent studies provide some evidence for the ability of multivariate time-series models to generate better forecasts. At the same time, artificial neural network models have been emerging as alternatives to predict exchange rates. In this paper we propose a nonlinear forecast model combining the neural network with the multivariate econometric framework. This hybrid model contains two forecasting stages. A time series approach based on Bayesian Vector Autoregression (BVAR) models is applied to the first stage of forecasting. The estimates from BVAR are then used by the nonparametric General Regression Neural Network (GRNN) to generate enhanced forecasts. To evaluate the economic impact of forecasts, we develop a set of currency trading rules guided by these models. The optimal conditions implied by the investment rules maximize the expected profits given the expected changes in exchange rates and the interest rate differentials between domestic and foreign countries. Both empirical and simulation experiments suggest that the proposed nonlinear adaptive forecasting model not only produces better forecasts but also results in higher investment returns than other types of models. The effect of risk aversion is also considered in the investment simulation.
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GNOATTO, ALESSANDRO. "COHERENT FOREIGN EXCHANGE MARKET MODELS." International Journal of Theoretical and Applied Finance 20, no. 01 (February 2017): 1750007. http://dx.doi.org/10.1142/s0219024917500078.

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A model describing the dynamics of a foreign exchange (FX) rate should preserve the same level of analytical tractability when the inverted FX process is considered. We show that affine stochastic volatility models satisfy such a requirement. Such a finding allows us to use affine stochastic volatility models as a building block for FX dynamics that are functionally-invariant with respect to the construction of suitable products/ratios of rates, thus generalizing the model of [A. De Col, A. Gnoatto & M. Grasselli (2013) Smiles all around: FX joint calibration in a multi-Heston model, Journal of Banking and Finance 37 (10), 3799–3818.].
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ZIMMERMANN, GEORG, RALPH NEUNEIER, and RALPH GROTHMANN. "MULTI-AGENT MARKET MODELING OF FOREIGN EXCHANGE RATES." Advances in Complex Systems 04, no. 01 (March 2001): 29–43. http://dx.doi.org/10.1142/s021952590100005x.

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A market mechanism is basically driven by a superposition of decisions of many agents optimizing their profit. The macroeconomic price dynamic is a consequence of the cumulated excess demand/supply created on this micro level. The behavior analysis of a small number of agents is well understood through the game theory. In case of a large number of agents one may use the limiting case that an individual agent does not have an influence on the market, which allows the aggregation of agents by statistic methods. In contrast to this restriction, we can omit the assumption of an atomic market structure, if we model the market through a multi-agent approach. The contribution of the mathematical theory of neural networks to the market price formation is mostly seen on the econometric side: neural networks allow the fitting of high dimensional nonlinear dynamic models. Furthermore, in our opinion, there is a close relationship between economics and the modeling ability of neural networks because a neuron can be interpreted as a simple model of decision making. With this in mind, a neural network models the interaction of many decisions and, hence, can be interpreted as the price formation mechanism of a market.
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Sun, Wenxiang, Jisheng Peng, Juelin Ma, and Weiguo Zhong. "Evolution and performance of Chinese technology policy." Journal of Technology Management in China 4, no. 3 (September 25, 2009): 195–216. http://dx.doi.org/10.1108/17468770911013528.

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PurposeThe purpose of this paper is to analyze the evolution of Chinese technology policy, assess its technological and economic performance from the visual angle of “market in exchange for technology” strategy.Design/methodology/approachA quantified method based on policy contents from policy power, policy goals and policy means was developed to build a policy database, and analyze the evolutionary tendency of Chinese technology policy. In addition, econometric models were built to assess the performance of technology policy.FindingsThe critical goals of Chinese technology policy are introducing technology directly or indirectly by introducing foreign investment and innovation, but the critical linkage between introduction and innovation‐technology absorption was absent – almost all policy means aim at the introduction of foreign investment and innovation but not technology absorption. More unfortunately, the econometric results show that introduction of foreign investment contributes little, while technology absorption contributes much more. Institutional path‐dependence and the competition for benefits among different departments have aggravated an already unbalanced emphasis on technology policies during the reform.Research limitations/implicationsDuring the quantification of technology policy, one perhaps loses some information about policy, and it can only be used to analyze the technology policy system, not special technology policy.Practical implicationsAnalyses of the evolution of Chinese technology policy and econometric results show the blunder of “market in exchange for technology” strategy from policy formulation and execution. Also, it leads to the optimization of technology policy from policy targets, implements based on national technology and innovation strategy.Originality/valueThe paper develops the method of technology policy quantification and builds econometric models to assess the contribution of technology policy to technology progress and economy development.
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Peel, D. A., P. DeGrauwe, H. Dewachter, and M. Embrecht. "Exchange Rate Theory: Chaotic Models of Foreign Exchange Markets." Economica 61, no. 243 (August 1994): 402. http://dx.doi.org/10.2307/2554626.

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Ahmed, KHATTAB, and SALMI Yahya. "Modeling Sources of Asymmetry in the Volatility of the Moroccan Dirham Exchange Rate." Applied Economics and Finance 8, no. 4 (July 26, 2021): 31. http://dx.doi.org/10.11114/aef.v8i4.5232.

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The main objective of this paper is to study the sources of asymmetry in the volatility of the bilateral exchange rates of the Moroccan dirham (MAD), against the EUR and the USD using the asymmetric econometric models of the ARCH-GARCH family. An empirical analysis was conducted on daily central bank data from March 2003 to March 2021, with a sample size of 4575 observations. Central bank intervention in the foreign exchange (interbank) market was found to affect the asymmetry in the volatility of the bilateral EUR/MAD and USD/MAD exchange rates. Specifically, sales of foreign exchange reserves by the monetary authority cause a fall in the exchange rate, which means that the market response to shocks is asymmetric. Finally, the selection criterion (AIC) allowed us to conclude that the asymmetric model AR(1)-TGARCH(1,1) is adequate for modeling the volatility of the exchange rate of the Moroccan dirham.
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LeBaron, Blake. "Exchange rate theory: Chaotic models of foreign exchange markets." Journal of International Economics 39, no. 1-2 (August 1995): 185–87. http://dx.doi.org/10.1016/0022-1996(95)90028-4.

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Thujiyanthan, Priyatharsiny. "The Impact of Exchange Rate and Exchange Rate Volatility on Foreign Direct Investment: An Econometric Investigation in Sri Lanka." Asian Journal of Managerial Science 10, no. 2 (November 5, 2021): 41–51. http://dx.doi.org/10.51983/ajms-2021.10.2.2928.

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This paper aims to explore the impact of exchange rate volatility on the ability to attract foreign direct investment (FDI) in the emerging economy of Sri Lanka. This investigation covers the period between 1978 and 2018. Exchange rate volatility is captured from the variance of the residuals by employing the testing procedure of ARCH (Engle, 1982) and GARCH (Bollerslev, 1986) models and its impact upon FDI is estimated by an Autoregressive Distributed Lag (ARDL) approach which is developed by Pesaren et al. (2001). The estimated results indicated that exchange rate volatility exerted significant positive impact on FDI during the period between 1978 and 2018 and the results show that exchange rate, exchange rate volatility, inflation, infrastructure, local and foreign interest rate, real GDP, political stability, and trade openness are the crucial determinants of FDI inflow in Sri Lanka. These findings are supported with Goldberg and Kolstad (1994) and it helps to the policy makers to concentrate exchange rate volatility, other macro-economic stability and political stability are key to boom FDI inflow in Sri Lanka.
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Gençay, Ramazan, Michel Dacorogna, Richard Olsen, and Olivier Pictet. "Foreign exchange trading models and market behavior." Journal of Economic Dynamics and Control 27, no. 6 (April 2003): 909–35. http://dx.doi.org/10.1016/s0165-1889(02)00049-0.

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Dissertations / Theses on the topic "Foreign exchange Econometric models"

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Klongkratoke, Pittaya. "Econometric models in foreign exchange market." Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/7333/.

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According to the significance of the econometric models in foreign exchange market, the purpose of this research is to give a closer examination on some important issues in this area. The research covers exchange rate pass-through into import prices, liquidity risk and expected returns in the currency market, and the common risk factors in currency markets. Firstly, with the significant of the exchange rate pass-through in financial economics, the first empirical chapter studies on the degree of exchange rate pass-through into import in emerging economies and developed countries in panel evidences for comparison covering the time period of 1970-2009. The pooled mean group estimation (PMGE) is used for the estimation to investigate the short run coefficients and error variance. In general, the results present that the import prices are affected positively, though incompletely, by the exchange rate. Secondly, the following study addresses the question whether there is a relationship between cross-sectional differences in foreign exchange returns and the sensitivities of the returns to fluctuations in liquidity, known as liquidity beta, by using a unique dataset of weekly order flow. Finally, the last study is in keeping with the study of Lustig, Roussanov and Verdelhan (2011), which shows that the large co-movement among exchange rates of different currencies can explain a risk-based view of exchange rate determination. The exploration on identifying a slope factor in exchange rate changes is brought up. The study initially constructs monthly portfolios of currencies, which are sorted on the basis of their forward discounts. The lowest interest rate currencies are contained in the first portfolio and the highest interest rate currencies are in the last. The results performs that portfolios with higher forward discounts incline to contain higher real interest rates in overall by considering the first portfolio and the last portfolio though the fluctuation occurs.
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Hillman, Robert J. T. "Econometric modelling of nonlinearity and nonstationarity in the foreign exchange market." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264846.

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Marshall, Peter John 1960. "Rational versus anchored traders : exchange rate behaviour in macro models." Monash University, Dept. of Economics, 2001. http://arrow.monash.edu.au/hdl/1959.1/9048.

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Yuen, Wai-kee, and 袁偉基. "A historical event analysis of the variability in the empirical uncovered interest parity (UIP) coefficient." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36424201.

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Forrester, David Edward Economics Australian School of Business UNSW. "Market probability density functions and investor risk aversion for the australia-us dollar exchange rate." Awarded by:University of New South Wales. School of Economics, 2006. http://handle.unsw.edu.au/1959.4/27199.

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This thesis models the Australian-US Dollar (AUD/USD) exchange rate with particular attention being paid to investor risk aversion. Accounting for investor risk aversion in AUD/USD exchange rate modelling is novel, so too is the method used to measure risk aversion in this thesis. Investor risk aversion is measured using a technique developed in Bliss and Panigirtzoglou (2004), which makes use of Probability Density Functions (PDFs) extracted from option markets. More conventional approaches use forward-market pricing or Uncovered Interest Parity. Several methods of estimating PDFs from option and spot markets are examined, with the estimations from currency spot-markets representing an original application of an arbitrage technique developed in Stutzer (1996) to the AUD/USD exchange rate. The option and spot-market PDFs are compared using their first four moments and if estimated judiciously, the spot-market PDFs are found to have similar shapes to the option-market PDFs. So in the absence of an AUD/USD exchange rate options market, spot-market PDFs can act as a reasonable substitute for option-market PDFs for the purpose of examining market sentiment. The Relative Risk Aversion (RRA) attached to the AUD/USD, the US Dollar-Japanese Yen, the US Dollar-Swiss Franc and the US-Canadian Dollar exchange rates is measured using the Bliss and Panigirtzoglou (2004) technique. Amongst these exchange rates, only the AUD/USD exchange rate demonstrates a significant level of investor RRA and only over a weekly forecast horizon. The Bliss and Panigirtzoglou (2004) technique is also used to approximate a time-varying risk premium for the AUD/USD exchange rate. This risk premium is added to the cointegrating vectors of fixed-price and asset monetary models of the AUD/USD exchange rate. An index of Australia???s export commodity prices is also added. The out-of-sample forecasting ability of these cointegrating vectors is tested relative to a random walk using an error-correction framework. While adding the time-varying risk premium improves this forecasting ability, adding export commodity prices does so by more. Further, including both the time-varying risk premium and export commodity prices in the cointegrating vectors reduces their forecasting ability. So the time-varying risk premium is important for AUD/USD exchange rate modelling, but not as important as export commodity prices.
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李寶昇 and Po-sing Li. "The study of the combination of technical analysis and qualitative model in financial forecasting." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31269035.

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McDonald, Mark F. J. "An investigation into the dynamics of correlation networks in the foreign exchange market." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670178.

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Hakim, Abdul. "Modelling the interactions across international stock, bond and foreign exchange markets." UWA Business School, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0202.

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[Truncated abstract] Given the theoretical and historical evidence that support the benefit of investing internationally. there is Iittle knowledge available of proper international portfolio construction in terms of how much should be invested in foreign countries, which countries should be targeted, and types of assets to be included in the portfolio. The prospects of these benefits depend on the market volatilities, cross-country correlations, and currency risks to change in the future. Another important issue in international portfolio diversification is the growth of newly emerging markets which have different characteristics from the developed ones. Addressing the issues, the thesis intends to investigate the nature of volatility, conditional correlations, and the impact of currency risks in international portfolio, both in developed and emerging markets. Chapter 2 provides literature review on volatility spillovers, conditional correlations, and forecasting both VaR and conditional correlations using GARCH-type models. Attention is made on the estimated models, type of assets, regions of markets, and tests of forecasts. Chapter 3 investigates the nature of volatility spillovers across intemational assets, which is important in determining the nature of portfolio's volatility when most assets are seems to be connected. ... The impacts of incorporating volatility spillovers and asymmetric effect on the forecast performance of conditional correlation will also be examined in this thesis. The VARMA-AGARCH of McAleer, Hoti and Chan (2008) and the VARMA-GARCH model of Ling and McAleer (2003) will be estimated to accommodate volatility spillovers and asymmetric effect. The CCC model of Bollerslev (1990) will also be estimated as benchmark as the model does not incorporate both volatility spillovers and asymmetric effects. Given the information about the nature of conditional correlations resulted from the forecasts using a rolling window technique, Section 2 of Chapter 4 investigates the nature of conditional correlations by estimating two multivariate GARCH models allowing for time-varying conditional correlations, namely the DCC model of Engle (2002) and the GARCC model of McAleer et al. (2008). Chapter 5 conducts VaR forecast considering the important role of VaR as a standard tool for risk management. Especially, the chapter investigates whether volatility spillovers and time-varying conditional correlations discussed in the previous two chapters are of helps in providing better VaR forecasts. The BEKK model of Engle and Kroner (1995) and the DCC model of Engle (2002) will be estimated to incorporate volatility spillovers and conditional correlations, respectively. The DVEC model of Bollerslev et al. (1998) and the CCC model of Bollerslev (1990) will be estimated to serve benchmarks, as both models do not incorporate both volatility spillovers and timevarying conditional correlations. Chapter 6 concludes the thesis and lists somc possible future research.
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Mnjama, Gladys Susan. "Exchange rate pass-through to domestic prices in Kenya." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1002709.

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In 1993, Kenya liberalised its trade policy and allowed the Kenyan Shillings to freely float. This openness has left Kenya's domestic prices vulnerable to the effects of exchange rate fluctuations. One of the objectives of the Central Bank of Kenya is to maintain inflation levels at sustainable levels. Thus it has become necessary to determine the influence that exchange rate changes have on domestic prices given that one of the major determinants of inflation is exchange rate movements. For this reason, this thesis examines the magnitude and speed of exchange rate pass-through (ERPT) to domestic prices in Kenya. In addition, it takes into account the direction and size of changes in the exchange rates to determine whether the exchange rate fluctuations are symmetric or asymmetric. The thesis uses quarterly data ranging from 1993:Ql - 2008:Q4 as it takes into account the period when the process of liberalization occurred. The empirical estimation was done in two stages. The first stage was estimated using the Johansen (1991) and (1995) co integration techniques and a vector error correction model (VECM). The second stage entailed estimating the impulse response and variance decomposition functions as well as conducting block exogeneity Wald tests. In determining the asymmetric aspect of the analysis, the study followed Pollard and Coughlin (2004) and Webber (2000) frameworks in analysing asymmetry with respect to appreciation and depreciation and large and small changes in the exchange rate to import prices. The results obtained showed that ERPT to Kenya is incomplete but relatively low at about 36 percent in the long run. In terms of asymmetry, the results showed that ERPT is found to be higher in periods of appreciation than depreciation. This is in support of market share and binding quantity constraints theory. In relation to size changes, the results show that size changes have no significant impact on ERPT in Kenya.
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Amer, Islam S. S. "Foreign Exchange Rate Transaction Exposure in Emerging Insurance Markets: A Model of the Egyptian Insurance Market." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7333.

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Emerging insurance markets, have limited access to financial instruments that they can use to create common hedge(s) to manage foreign exchange risk. This is the first empirical study to focus on the limitations when modelling foreign exchange rate transaction exposure in emerging insurance markets. This work is based on the cash flow methodology proposed by Martin and Mauer (2003, 2005) in reference to banks, and employed by Li et al. (2009) when assessing US insurance companies. Some econometric methodological innovations have been introduced to study the limitations of modelling foreign exchange rate transaction exposure in emerging insurance markets. An extensive literature review is followed by a quantitative investigation, to answer the following research questions. 1) Is the foreign exchange transaction exposure, as measured by a fundamental (economic) method of modelling the interplay of foreign exchange rates with other economic variables, significant, for all Egyptian insurance companies? 2) Is the foreign exchange transaction exposure, as measured by a technical (statistical) way of modelling the interplay of foreign exchange rates with other economic variables, significant for all Egyptian insurance companies? 3) Is the exchange transaction exposure for the Egyptian insurance industry, as a whole, significant? Although the foreign exchange rate transaction exposure for the Egyptian insurance industry, as a whole, is insignificant (question3), the percentage of Egyptian insurers affected by foreign exchange rate transaction exposure in US dollars, estimated at the individual firm level, was found to be 22% (question 1) and 35% (question2) respectively.
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Books on the topic "Foreign exchange Econometric models"

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Hans, Dewachter, and Embrechts Marc, eds. Exchange rate theory: Chaotic models of foreign exchange markets. Oxford, UK: Blackwell, 1993.

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Baillie, Richard T. The foreign exchange market: Theory and econometric evidence. Cambridge: Cambridge University Press, 1989.

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Itō, Takatoshi. Foreign exchange rate expectations: Micro survey data. Cambridge, MA: National Bureau of Economic Research, 1988.

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Baillie, Richard. The foreign exchange market: Theory and econometric evidence. Cambridge [Cambridgeshire]: Cambridge University Press, 1989.

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V, Cristián Morán. Imports under a foreign exchange constraint. [Washington, D.C.]: Country Economics Department, World Bank, 1988.

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Exchange rate economics. Cambridge [England]: Cambridge University Press, 1995.

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Lyons, Richard K. Foreign exchange volume: Sound and fury signifying nothing? Cambridge, MA: National Bureau of Economic Research, 1995.

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Frankel, Jeffrey A. Exchange rate forecasting techniques, survey data, and implications for the foreign exchange market. Cambridge, MA: National Bureau of Economic Research, 1990.

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Obstfeld, Maurice. Risk and exchange rates. Cambridge, MA: National Bureau of Economic Research, 1998.

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Pentecost, Eric. Exchange rate dynamics: A modern analysis of exchange ratetheory and evidence. Aldershot: Elgar, 1993.

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Book chapters on the topic "Foreign exchange Econometric models"

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Kaehler, Juergen, and Volker Marnet. "Markov-Switching Models for Exchange-Rate Dynamics and the Pricing of Foreign-Currency Options." In Econometric Analysis of Financial Markets, 203–30. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-48666-1_13.

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Hashimoto, Yuko, and Takatoshi Ito. "Market Microstructure of the Foreign Exchange Markets: Evidence from the Electronic Broking System." In Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, 66–91. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230298101_3.

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Söylemez, Arif Orçun. "Comparing the predictive powers of models." In Foreign Exchange Rates, 30–47. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Routledge focus on economics and finance: Routledge, 2020. http://dx.doi.org/10.4324/9781003102809-6.

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Söylemez, Arif Orçun. "Prominent structural models for exchange rate determination." In Foreign Exchange Rates, 6–12. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Routledge focus on economics and finance: Routledge, 2020. http://dx.doi.org/10.4324/9781003102809-2.

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Várpalotai, Viktor. "Disaggregated Econometric Models to Forecast Inflation in Hungary." In Exchange Rates and Macroeconomic Dynamics, 139–66. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230582699_6.

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Chopard, B., and R. Chatagny. "Models of Artificial Foreign Exchange Markets." In Scale Invariance and Beyond, 195–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-09799-1_15.

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Oguchi, Noriyoshi. "The Growth of the Korean Economy and the Foreign Capital." In Econometric Models of Asian-Pacific Countries, 463–500. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68258-5_15.

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Guillaume, Dominique M. "A Typology of Foreign Exchange Rates Models." In Intradaily Exchange Rate Movements, 1–14. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4621-4_1.

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Chia, Wai-Mun, Mengling Li, and Huanhuan Zheng. "Regime Switching Models in the Foreign Exchange Market." In Nonlinear Economic Dynamics and Financial Modelling, 201–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07470-2_12.

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Tirelli, Patrizio. "Open Economy Models: The Macroeconomic Approach." In Monetary and Fiscal Policy, the Exchange Rate and Foreign Wealth, 23–45. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22605-4_2.

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Conference papers on the topic "Foreign exchange Econometric models"

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Ersungur, Ş. Mustafa, Mehmet Barış Aslan, and Ömer Doru. "The Econometric Analysis in the Sectorial Basis of Income and Price Effects on the Foreign Trade Deficits: The Case of Turkey." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01864.

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In Turkey which is one of the countries whose current account deficit has been chronic from the 1980s until today, the most important reason for the current account deficit is foreign trade deficit. The aim of our study in this context is to shed light on policies oriented foreign trade deficits by examining foreign trade of intermediate and capital goods which are one of the most important causes of foreign trade deficits in Turkey, in terms of income and exchange rate indicators. In the study in which the Marshall-Lerner condition and the foreign and domestic income elasticities were tested separately for each model, the Econometric method and quartile data between 1998 to 2014 were used. The results of the study showed that Marshall-Lerner condition is not valid in foreign trade of any goods group, and domestic and foreign income variable coefficients are strong effect on both imports and exports. In the direction of these results, we think that the economic policies to be developed for domestic and foreign revenues will be more effective than the real exchange rate policies for being decreased the foreign trade deficits of both intermediate and capital goods in Turkey.
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Hacıoğlu Deniz, Müjgan, and Kutluk Kağan Sümer. "The Effects of Oil Price Volatility on Foreign Trade Revenue and National Income: A Comparative Analysis on Selected Eurasian Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01362.

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The aim of this study is to identify the effects of the volatility of oil prices and exchange rates on foreign trade revenue of a few selected Eurasian Economies. These countries are oil and natural gas exporting countries and getting most of their trade revenue from exporting these commodities. The effects of sharply falling oil prices since June 2014 and depreciating exchange rates on these countries’ external trade were analyzed by using alternative econometric models. The sample of this analysis covered the period from June 2014 when oil prices has started falling sharply – till June 2015 in which still world oil price is lower than the price of 140-150 dollars for per gallon in the previous years. Decreasing prices basically destabilize the revenues of these states since approximately two third (2/3) of their export revenue and substantial part of their budget revenue that comes from oil and natural gas. In Russian economy falling prices of oil depreciates both public revenue and economic activity. This means predominantly depending on one commodity for export and foreign trade makes these countries’ economies in dependence of that commodity’s price and makes these economies so vulnerable to global crisis and price volatilities. In order to avoid from this situation, these countries should divert their production and increase in variety for exporting goods.
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Ağayev, Seymur. "The Validity of Purchasing Power Parity Hypothesis for Kazakhstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00594.

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The article examines the validity of Purchasing Power Parity (PPP) hypothesis for Kazakhstan by using the data set belonging to the period January 1995 to December 2012. Both linear and nonlinear unit root tests are used to make an econometrical investigation on stationarity characteristics of real exchange rate series of Kazakhstan’s Tenge that defined according to different foreign countries or country groups. First of two nonlinear unit root tests that applied in this paper models structural change as a smooth transition and the other nonlinear unit root test takes into account both structural change and asymmetric adjustment characteristics of real exchange rates. Linear unit root test findings support the validity of the PPP hypothesis between Kazakhstan and Commonwealth of Independent States (CIS) countries. In addition to this finding, unit root tests that allow for nonlinear adjustment support evidences on stationarity of Tenge – US dollar real exchange rate, Tenge – Euro real exchange rate and Tenge’s non-CIS related real effective exchange rate series. As a whole, findings of this study provide a strong support on the validity of PPP hypothesis for Kazakhstan. Furthermore, it is also shows that the nonlinear adjustment characteristics of real exchange rate should be taken into account, if foreign countries are represented by free market economies.
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4

Nootyaskool, Supakit, and Wuttichow Choengtong. "Hidden Markov Models predict foreign exchange rate." In 2014 14th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2014. http://dx.doi.org/10.1109/iscit.2014.7011878.

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5

Fernández, M., Jesús E. García, V. A. González-López, N. Romano, and J. F. Tessler. "Foreign exchange dependence through different copula models." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5043822.

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6

Özer, Ali, Aslı Cansın Doker, and Adem Türkmen. "Analysis of Capital Flight in Developing Countries: A Study on Turkey between 1980 and 2010." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00702.

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The aim of this study is to determine whether there is a relationship between Capital flight and some macroeconomic variables by using anual data between 1980 and 2010 in Turkey. Capital flight measured by World Bank (1985) method, was used as dependent variable and external debt, foreign direct investment, uncertainty, real GDP growth, exchange rates, trade balance and consumer price index were used as independent variables. Ordinary Least squares estimation method, Johansen-Jeselius cointegration test, Granger causality test and variance decomposition results produced by VEC model were used in the study. After those econometrics and economics analysis, this paper put forward that there is a long run relationship between some macroeconomic variables and capital flight.The results show external debt, foreign direct investment inflows, and foreign reserves to be the major effector of capital flight.
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Nedeljkovic, Milan, and Nikola Vasiljevic. "EMERGING FOREIGN EXCHANGE MARKETS AND MONETARY POLICY IN EURO AREA: EVIDENCE FROM THE CRISIS." In 4th International Scientific Conference – EMAN 2020 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eman.s.p.2020.11.

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We examine how emerging market (EM) foreign exchange (FX) markets respond to innovations in the monetary policy in advanced economies over the crisis period. We focus on the case of the European Central Bank (ECB) which pursued a combination of different policies during the Eurozone sovereign crisis. In a new econometric framework, we identify responses of foreign exchange markets in three EM economies (Hungary, Poland and Turkey) to different types of ECB policies. We find weak effect of the ECB’s Euro liquidity provisions on the EM foreign exchange markets. In contrast, while the ECB’s foreign exchange liquidity provisions as well as government bond interventions and policy rate changes did not impact the FX levels, they led to higher uncertainty in the FX markets. The results are indicative of the additional, uncertainty channels through which monetary policy shocks in advanced economies may affect the business cycle fluctuations in the EM economies.
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Çağlayan Akay, Ebru, and Zamira Oskonbaeva. "Modeling the Determinants of Import in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00388.

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Foreign trade plays an important role in development of each country. Kyrgyzstan, like other transition economies started to open up to foreign countries after achieving it's independence and began to practice it’s own foreign trade policies. But during a 21-year period, a surplus in the trade balance was recorded in 2000 and 2001. In other words, the country's economy has faced a chronic deficit of foreign trade. The main objective of this paper is to study the impacts of domestic income and exchange rate on imports by considering the period after 2000 through econometric method by using of monthly data and according to the results obtained to suggest policy recommendations.
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9

Liu, Jingyi. "Forecasting Volatility Using Competitive Time Series models --Evidence from Foreign Exchange Market." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320539.

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Choroev, Kalybek. "Econometric Models of Structural Shifts of the Economy of the Kyrgyz Republic." In International Conference on Eurasian Economies. Eurasian Economists Association, 2021. http://dx.doi.org/10.36880/c13.02530.

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One of the urgent problems of economic development in the Kyrgyz Republic is overcoming structural imbalances. This article is devoted to the analysis and econometric modeling of the problems of overcoming structural imbalances in economic development. Methods for analyzing structural changes in the national economy using an econometric model based on a production function are proposed. The necessity of developing a three-sector model based on the production function has been substantiated. Analyzed the state of socio-economic development, the state of the investment climate in the Kyrgyz Republic. Currently, one of the most difficult problems of economic reforms in countries with economies in transition is that they are faced with the task of overcoming complex structural imbalances in the economic system inherited from the planned economy of the past. Ensuring sustainable balanced economic development of the country is an urgent task. For the accelerated development of the national economy of the country, the main goal is to optimize the intersectoral and intra-sectoral distribution of resources. In a transitional economy, the market mechanism cannot provide the desired scheme for the intersectoral allocation of resources of the national economy. The government of the country must take into account the existence of economic imbalances at the macro level and in the future, it is necessary to coordinate the distribution of foreign investment resources at the state level. Optimization measures should be aimed at identifying economic imbalances at an early stage and taking measures to resolve them in a timely manner.
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Reports on the topic "Foreign exchange Econometric models"

1

Neely, Christopher J., and Michael J. Dueker. Can Markov Switching Models Predict Excess Foreign Exchange Returns? Federal Reserve Bank of St. Louis, 2001. http://dx.doi.org/10.20955/wp.2001.021.

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2

Ordoñez-Callamand, Daniel, Mauricio Villamizar-Villegas, and Luis Fernando Melo-Velandia. Foreign exchange intervention revisited : a new way of estimating censored models. Bogotá, Colombia: Banco de la República, November 2016. http://dx.doi.org/10.32468/be.972.

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3

Engel, Charles. On the Foreign-Exchange Risk Premium in Sticky-Price General Equilibrium Models. Cambridge, MA: National Bureau of Economic Research, April 1999. http://dx.doi.org/10.3386/w7067.

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