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A long-run relationship between stock price index and exchange rate: A structural nonparametric cointegrating regression approach

Athanasios Tsagkanos and Costas Siriopoulos ()

Journal of International Financial Markets, Institutions and Money, 2013, vol. 25, issue C, 106-118

Abstract: In this paper we estimate the relationship between stock prices and exchange rates in EU and USA during the period of recent financial crisis (2008–2012) and compare the results with those in a previous period where stock markets were operating under normal conditions. According to the portfolio balance effect theory in periods of financial crisis there is a causal relationship from stock returns to exchange rate returns. Previous studies detect this relationship in short-run but not in long-run level. However, they use, for testing the long-run relationship, standard linear cointegrating regression models that suffer from biased estimations and cannot detect non-linear relationships. To overcome these problems, we examine the long-run relationship adopting a more advanced econometric model, the structural nonparametric cointegrating regression. The results exhibit a causal relationship from stock prices to exchange rates that is long-run in EU and short-run in USA. The finding of long-run relationship with this direction is particularly important because it is presented for first time in relative literature and shows the need for a new pattern of economic policy in EU.

Keywords: Stock prices; Exchange rates; Structural nonparametric cointegrating regression (search for similar items in EconPapers)
JEL-codes: C14 F31 G15 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:25:y:2013:i:c:p:106-118

DOI: 10.1016/j.intfin.2013.01.008

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Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely

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