#
How Gdp Affect Mauritius- an Econometric Expla
**Topics:**
Economics,
Regression analysis,
Inflation,
Stock market,
Econometrics,
Stock /
**Pages:** 7 (1716 words) /
**Published:** Mar 14th, 2013

**Topics:**Economics, Regression analysis, Inflation, Stock market, Econometrics, Stock /

**Pages:**7 (1716 words) /

**Published:**Mar 14th, 2013

Dependent variable: Semdex

Prob > F = 0.0000

R- Squared = 0.8841

Adj R-squared = 0.8636

.

The Adjusted R2 - the coefficient of determinationR2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. The R-squared is 0.8841, when adjusted being about 0.8636 meaning that approximately 86% of the variability of LSEDX is accounted for the variables in the model as the adjusted R-squared attempts to yield a more honest value. As R-squared gets closer to 100%, it means that the model is 100% right. This shows that this model is reliable at 88% and it explains any variation in the dependent variables.

The economy has progressed significantly over the past decades. Indeed, Mauritius has gone up the scale from a least developed country to a developing country status. This has been possible due to a certain extent because of the control of money supply, inflation and real interest rate on savings.

Testing for Multicollinearity

| Lnsemdex | Lnreal Interest Rate | Lninflation | Lnmoney Supply | Lnsemdex | 1.0000 | | | | Lnreal interest rate | -0.1669 | 1.0000 | | | Lninflation | -0.3325 | -0.3303 | 1.0000 | | Lnmoney supply | 0.9289 | -0.0303 | -0.4483 | 1.0000 |

Before checking for multicollinearity is important as it helps to know whether there is a strong correlation amongst the explanatory variables in a regression model. The results above show that there is highest correlation between Lnsemdex and Lnmoney supply at 93%. Correlations around 0.8 and 0.9 are not desirable as they will indicate

References: ARJOON ET AL., 2010. “The Long Run Relationship between Inflation and Real Stock Prices: Empirical Evidence from South Africa.” Working paper series No.2010-28, Departments ofEconomics, University of Pretoria. CHEN ET AL., 1986. “Economic Forces and the Stock Market.” The Journal of Business, 59(July), 383-403. FAMA E.F., 1981. “Stock Returns, Real Activity, Inflation, and Money.” American EconomicReview, 71(4), 545-565. FISHER, I., 1930. The Theory of Interest, Macmillan, New York. GUJRATI, D., 2009. Basic Econometrics, McGraw Hill, Fifth Edition, International Edition. HAMAO, Y., 1988. “An empirical investigation of the arbitrage pricing theory,” Japan and the World economy, 1, 45-61. MILLER, M. H. AND MODIGLIANI, F., 1961. “Dividend policy, growth, and the valuation of Shares.” Journal of Business, 4, 411-433. MUKHERJEE, T. K. AND NAKA, A., 1995. “Dynamic relations between macroeconomic variables and the Japanese stock market: an application of a vector error-correction model.” TheJournal of Financial Research, 18(2), 223 – 237. ROSS, S. A., 1976. “The arbitrage theory of capital asset pricing.” Journal of Economic Theory, 13, 341-360.