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Academic literature on the topic 'Foreign exchange – Econometric models – Australia'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Foreign exchange – Econometric models – Australia"

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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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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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Aries, Morgan, Gianfranco Giromini, and Gunter Meissner. "A Model for a Fair Exchange Rate." Review of Pacific Basin Financial Markets and Policies 09, no. 01 (March 2006): 51–66. http://dx.doi.org/10.1142/s0219091506000641.

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Financial markets have developed formulas and models to derive fair values for bonds, futures, swaps, options and other securities. This model derives a fair value of an exchange rate, which might be used as a benchmark for a long-term equilibrium level to stabilize currency markets. The model is based on the value-added tax adjusted purchasing power parity exchange rate. This rate is then modified by five components: the macro-economic component, the foreign currency reserve component, the debt component, the interest rate component, and the political stability/leadership component. With respect to the American dollar, the model shows that the Euro and the Japanese Yen are overvalued compared to its current exchange rate, while the Brazilian Real, the Russian Ruble, the Chinese Yuan and the Australian dollar are currently undervalued.
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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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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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Shafiullah, Muhammad, Luke Emeka Okafor, and Usman Khalid. "Determinants of international tourism demand: Evidence from Australian states and territories." Tourism Economics 25, no. 2 (September 20, 2018): 274–96. http://dx.doi.org/10.1177/1354816618800642.

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This article explores whether the determinants of international tourism demand differ by states and territories in Australia. This is the first attempt at econometric modelling of international tourism demand in the states and territories of Australia. A demand model is specified where international visits to states and territories is a function of world income, state-level transportation costs, stock of foreign-born residents, the Australian real exchange rate and the price levels of international and domestic substitutes. Panel and time series econometric techniques are employed to test the model variables for stationarity, cointegration and direction of causality. Panel and time series cointegration tests show that the model is cointegrated. The causality analysis indicates that all explanatory variables Granger cause international visits to the Australian states and territories. Further, we show that the impacts of the determinants of international tourism vary by states and territories. The results underscore the importance of targeted policymaking that takes into account the economic and social structure of each state and territory instead of designing tourism policies on the basis of one-size-fits-all approach.
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Bozhechkova, A. V., S. G. Sinelnikov-Murylev, and P. V. Trunin. "Factors of the Russian ruble exchange rate dynamics in the 2000s and 2010s." Voprosy Ekonomiki, no. 8 (August 3, 2020): 5–22. http://dx.doi.org/10.32609/0042-8736-2020-8-5-22.

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The article discusses the key factors of the ruble exchange rate dynamics, analyzes the features of Russian currency market in the context of inflation targeting and the application of the budget rule. The basic theoretical approaches to modeling the dynamics of real and nominal exchange rates are presented, including behavioral models of the exchange rate, the monetary model of the exchange rate, and the hypothesis of uncovered interest parity. The most important factors of long-term and short-term dynamics of the exchange rate are revealed. The results of an econometric evaluation of the models of the real and nominal ruble exchange rates using dynamic least squares method (DOLS) are presented. It is shown that the key factors shaping the dynamics of the nominal ruble exchange rate are the terms of trade, the interest rate spread, the VIX volatility index, and the operations of the Russian Ministry of Finance under the budget rule. The long-term trajectory of the real exchange rate is formed by the terms of trade conditions, the Balassa—Samuelson effect, the dynamics of net foreign assets of the private sector.
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Van der Geest, Willem. "Peter J. Montiel, Pierre-Richer Agenor, and Nadeem ul Haque. Informal Financial Markets in Developing Countries: A Macroeconomic Analysis. Published in the "Advances in Theoretical and Applied Economics" series edited by Homa Motamen-Scobie. Oxford: Blackwell. 1992. i-xi + 212 pp., including appendices. Hardbound. £40.00." Pakistan Development Review 32, no. 3 (September 1, 1993): 332–35. http://dx.doi.org/10.30541/v32i3pp.332-335.

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This volume reviews the nature and scope of informal financial markets in developing countries and elaborates on the theoretical and conceptual models which analyse 'financial repression' and other aspects of government intervention in financial markets. It also focuses on the consequences which the prevalence of informal financial markets in developing countries may have for monetary and exchange rate policy. In particular, it attempts to capture the functioning of informal, unregulated markets into macroeconomic models, working towards a general eqUilibrium model with informal financial markets. Two types of informal markets are analysed. The first are for informal lending at terms and conditions which differ greatly from those prevailing in the official banking system. The second are the 'parallel' markets for foreign exchange which tend to emerge in response to quantity restrictions on trade and administered allocation of foreign exchange to certain users at official rates, which are well below those on the parellel markets. The key question is whether these informal markets change the efficacy of monetary and credit policy-and, if they do, to what extent and in what direction? Two supporting appendices present econometric analyses of the efficiency of parallel currency markets and the degree of capital mobility in developing countries.
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Tufail, Saira, and Sadia Batool. "An Analysis of the Relationship between Inflation and Gold Prices: Evidence from Pakistan." LAHORE JOURNAL OF ECONOMICS 18, no. 2 (July 1, 2013): 1–35. http://dx.doi.org/10.35536/lje.2013.v18.i2.a1.

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In this study, we formulate a new inflation equation to capture the potential effects of gold and stock prices on inflation in Pakistan. We aim to assess the inflation-hedging properties of gold compared to other assets such as real estate, stock exchange securities, and foreign currency holdings. Applying time-series econometric techniques (cointegration and vector error correction models) to data for 1960–2010, we find that gold is a potential determinant of inflation in Pakistan. On the other hand, it also provides a complete hedge against unexpected inflation. Real estate assets are more than a complete hedge against expected inflation, although stock exchange securities outperform gold and real estate as a hedge against unexpected inflation. Foreign currency proves to be an insignificant hedge against inflation. Given the dual nature of the relationship between gold and inflation, it is increasingly important for the government to monitor and regulate the gold market in Pakistan. Moreover, stock market investment should be encouraged by the government given that asset price inflation does not pose a critical problem for Pakistan as yet.
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Dissertations / Theses on the topic "Foreign exchange – Econometric models – Australia"

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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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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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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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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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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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Tsu, Maria E. "Dynamic analysis of an open economy and foreign exchange risk management using path-dependent options." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06112009-063829/.

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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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Books on the topic "Foreign exchange – Econometric models – Australia"

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Beaumont, Craig. Conquering fear of floating: Australia's successful adaptation to a flexible exchange rate. [Washington, D.C.]: International Monetary Fund, Asia and Pacific Dept., 2007.

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Exchange rates and prices: The case of Australian manufactured imports. Berlin: Springer, 1996.

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

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

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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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Book chapters on the topic "Foreign exchange – Econometric models – Australia"

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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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Bhowmik, Debesh. "Econometric Analysis of India's Foreign Direct Investment Inflows." In Foreign Direct Investments (FDIs) and Opportunities for Developing Economies in the World Market, 248–75. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3026-8.ch012.

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In this chapter, the author explains the trend lines, random walk, stationary, structural breaks, and volatility of FDI inflows in India during 1971-2015. Both log linear and exponential trends are significant. FDI inflows are stationary and showed four structural breaks in 1985, 1994, 2000, and 2006. The author found the relation among FDI inflows, growth rate, interest rate, inflation rate, exchange rate, fiscal deficit, external debt, and trade openness with the help of Granger causality, Johansen cointegration test, and vector error correction models. Trace statistic has four cointegrating equations, and Max Eigen statistic has three cointegrating equations. The speed of the vector error correction process is more or less slow except for change in interest rate and change in inflation rate, which are significant where VECM is stable and diverging. Limitations and future scope of research is added. Policy recommendations are also included.
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Conference papers on the topic "Foreign exchange – Econometric models – Australia"

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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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