Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market

Su, EnDer and Fen, Yu-Gin (2011): Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market.

Abstract

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

• Item Type: MPRA Paper
• Language: English
• Keywords: Knowledge-based Systems, Fuzzy Sets, Structural Equation Model (SEM), Genetic Algorithm (GA), Currency Volatility
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics; F - International Economics > F3 - International Finance > F31 - Foreign Exchange

References

Anderson, J.C. and D.W. Gerbing, 1988. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103:3, 411-23.

Bilson, J.F.O., 1981. The Speculative Efficiency Hypothesis. Journal of Business 54, No.3, 435-451.

Bodnar, G.M., B. Dumas, and R.C. Marston, 2002. Pass-through and exposure. Journal of Finance 57, 199-232.

Bodnar, G.M. and M.H.F. Wong, 2003. Estimating exchange rate exposures: issues in model structure. Financial Management 32, 35-67.

Bollen, K.A. and Long, J.S., 1993. Testing Structural Equation Models, Newbury Park (Ca): Sage.

Branson, W., H. Halttunen, and P. Masson, 1977. Exchange rates in the short run: The dollar-deutschemark rate. European Economic Review 10, 303-24.

Branson,W.H. and D.W. Henderson, 1985. The Specification and Influence of Asset Markets. in, Jones, R. W. and P. B. Kenen,(ed.). Handbook of International Economics. Volume, North Holland. Amsterdam.

Chan, K.C.C., Lee, V., Leung, H, 1997. Generating fuzzy rules for target tracking using a steady-state genetic algorithm. IEEE Trans. Evolutionary Computation, 189-200.

Doidge, C., Griffin, J. and Williamson, R., 2006. Measuring the economic importance of exchange rate exposure? Journal of Empirical Finance 13, 550-576.

Eichengreen, Barry, and Raul Razo-Garcia, 2006. The International Monetary System in the Last and Next 20 Years. Economic Policy Vol. 21(47), 393–442.

Frenkel, J.A., 1981. Flexible Exchange Rates, Prices, and the Role of “News”: Lessons from the 1970s＂. Journal of political Economic Vol.54, 665-703.

Gefen, D., D.W. Straub, and M-C Boudreau, 2000. Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems Vol. 4, Article 7.

Goldberg, D.E., 1989. Genetic algorithms in search optimization and machine learning. Reading. MA: Addison-Wesley Publishing Company, 412.

Hair, J.F., R.E. Anderson, R.L. Tatham, W.C. Black, 1998. Multivariate Data Analysis. Prentice Hall.

Hatcher, L., 1998. A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. SAS Institute Inc.

Hu, K.C. and Jen W., 2008. Exploring the Effects of Relational Performance and Service Quality on Customer's Satisfaction and Loyalty in the Freight Shipping Industry from the Viewpoint of Business-to-Business. Journal of the Chinese Institute of Transportation 20.2, 201-228.

Jöreskog, K.G., 1973. A general method for estimating a linear structural equation system. In Goldberger, A. S., & Duncan, O. D. (Eds). Structural Models in the Social Science. New York: Academic Press.

Jöreskog, K.G. and D. Sörborn, 1996. LISREL 8: user’s reference guide. Scientific Software International, Chicago.

Jager, R, 1995. Fuzzy Logic in Control. Delft TU Publisher. Delft. The Netherlands.

Karr, C.L., 1991. Genetic algorithms for fuzzy controllers. AI Expert 6(2), 27 -33.

Karr, C.L., 1993. Fuzzy control of pH using genetic algorithms. IEEE Trans Fuzzy Syst 1, 46 –53.

Koedijk, K.G., Kool, C.J.M., Schotman, P.C., and Dijk, M.A.van, 2002. The cost of capital in international financial markets: local or global? Journal of International Money and Finance 21, 905-929.

Kuppam, A.R. and Pendyala, R.M., 2001. A Structural Equations Analysis of Commuter Activity and Travel Patterns. Transportation 28(1), 33-54.

Lin, C.H., 1984. Theories and Applications of Structural Equation Models and LISREL IV Program. Psychological Testing 31, 149-163.

Mamdani, E. and S. Assilian, 1975. An experiment in linguistic synthesis with fuzzy logic controller. Journal of Man–Machine Studies 7(1), 1-13.

Mamdani, E., 1976. Advances in the linguistic synthesis of fuzzy controllers. Journal of Man–Machine Studies 8, 669-678.

Moffet, M. and J. Karlsen, 1994. Managing foreign exchange rate economic exposure. Journal of International Financial Management and Accounting 5. 2, 157-175.

Neely, C.J., 2005. An Analysis of Recent Studies of the Effect of Foreign Exchange Intervention. Federal Reserve Bank of St. Louis Review Nov./Dec.87(6), 685-717.

Tabachnick, B.G. and L.S. Fidell, 1996. Using multivariate statistics (3rd) NY: Harper Collins.

Williamson, R., 2001. Exchange rate exposure and competition: evidence from the automotive industry. Journal of Financial Economics 59, 441-475.

Zadeh, L.A., 1965. Information and Control. Fuzzy Sets 8, 338-353.

Zadeh, L.A., 1996. Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers: Advances in fuzzy systems-applications and Theory.vol. 6. NJ: World Scientific.

Zimmermann, H.J., 1996. Fuzzy Sets Theory and its Applications, third ed. Kluwer Academic Press, Boston, MA.