Skip to main content

The Relationship between Stock Prices and Exchange Rates Evidence from Turkey

Abstract of Research Paper

Over the past few decades, determining the effects of macroeconomic variables on stock prices and investment decisions has preoccupied the minds of economists. In the literature, there are many empirical studies to disclose the relationship between macroeconomic variables such as interest rate, inflation, exchange rates, money supply etc. and stock prices. However, the direction of causality still remains unresolved in both theory and empirics. In this paper we investigate the causal relationship between stock prices and exchange rates, using data from 23 February 2001 to 11 January 2008 about Turkey. The reason of selecting this period is that exchange rate regime is determined as floating in this period. In this study, national 100, services, financials, industrials, and technology indices are taken as stock price indices. The results of empirical study indicate that there is bidirectional causal relationship between exchange rate and all stock market indices. While the negative causality exists from national 100, services, financials and industrials indices to exchange rate, there is a positive causal relationship from technology indices to exchange rate. On the other hand, negative causal relationship from exchange rate to all stock market indices is determined. 

 Published in International Research Journal of Finance and Economics ISSN 1450-2887 Issue 23 (2009)

Popular posts from this blog

Call for Papers

1. Special issue call for papers from Internationa l Journal of Conflict Management Areas / Topics Conflict Conflict management Dispute resolution Fairness Justice Mediation and arbitration Negotiation Peace studies Related topics Manuscript submission deadline: 28-11-2011. For details visit International Journal of Conflict Management 2. Inauguration issue call for papers from Far East Journal of Psychology and Business Areas / Topics Money, Banking, Finance and Investment Psychology and Human Related Issues Marketing Security Markets, Business Economics Accounting Practices Social Issues and Public policy  Management Organization  Statistics and Econometrics  Administration and Management  International Trade Industrial Relations and Labor  Business Communication  Mass Communication  History and Psychology Cold War and Business  Inter-Cultural Encounters  Peace and Unity for Business Growth Deadline for Su...

The Development of Female Global Managers: The Role of Mentoring and Networking

Abstract of Research Paper: This paper explores the role of mentoring and networking in the career development of global female managers. The paper is based on data collected from interviews with 50 senior female managers. The voices of the female managers illustrate some of the difficulties associated with informal organisational processes, in particular mentoring and networking, which hinder their career development. The findings confirm that female managers can miss out on global appointments because they lack mentors, role models, sponsorship, or access to appropriate networks – all of which are commonly available to their male counterparts. The interviewees suggest that men, as the dominant group, may want to maintain their dominance by excluding women from the informal interactions of mentoring and networking. The findings further suggest that if females had more access to networks and mentors they could be socialised in both the formal and informal norms of the organisation an...

FACTOR ANALYSIS

Factor analysis is a collection of methods used to examine how underlying constructs influence the responses on a number of measured variables. There are basically two types of factor analysis: exploratory and confirmatory. Exploratory factor analysis (EFA) attempts to discover the nature of the constructs influencing a set of responses. Confirmatory factor analysis (CFA) tests whether a specified set of constructs is influencing responses in a predicted way. SPSS only has the capability to perform EFA. CFAs require a program with the ability to perform structural equation modeling, such as LISREL or AMOS. The primary objectives of an EFA are to determine the number of factors influencing a set of measures and the strength of the relationship between each factor and each observed measure. To perform an EFA, you first identify a set of variables that you want to analyze. SPSS will then examine the correlation matrix between those variables to identify those that tend to vary togeth...