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Economic Policy and Sustainable Capital Market Growth in Nigeria Using ARDL and GARCH Approach

Prof Mrs AN Onoh, Eugene Iheanaho PhD and, JO Onoh PhD

Abstract

This research relied on stock market data of from 1980 to 2017 while employing the ARDL and GARCH approaches to analyse the magnitude and direction of capital market growth in Nigeria. It investigates economic policy and sustainable capital market growth with focus on the Nigeria economy. The study also explored domestic and external drivers of economic policy such as interest rate, tariff and exchange rate. The data are obtained from the Nigerian Stock Exchange (NSE) and Central Bank of Nigeria (CBN). The paper employed the AR-GARCH model with the EViews 11 as its computational software. Relevant pre-estimation diagnostic tests were carried out, namely the Augmented Dickey-Fuller (ADF) test, Phillip-Peron (PP) test and the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test. The Lagrange Multiplier (LM) test was used to test for the ARCH effect, correlogram of residuals, GARCH conditional variance and standard deviation of the series were produced, and comprehensively validated. Both the AR-GARCH (1, 1) and parsimonious ARDL estimation has revealed that the lag-one performance of the capital market is accountable for the dynamics in the current period performance of NSE market capitalization. Also, the degree of trade openness is significantly influenced by the economic policy variable of interest rate and tariff, previous period economic policy was found to be significant in the determination of current interest and tariff rates. The coefficients of the ARCH and GARCH term were found to be statistically insignificant. Though the sum of the estimated coefficients on the lagged squared error term and lagged conditional variance are not very close to unity, except for interest rate. The absence of volatility clustering is observed, while the volatility of capital market performance as well as Naira/Dollar exchange rate is less influenced by previous volatility. In addition, the study provides that volatility in interest rate and tari

Keywords

Economic policysustainablecapital marketgrowthNigeriaARDL and GARCH

References

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Forecasting the Volatility of Currency Exchange Rates, International Journal of Forecasting, vol. 3, pp. 159-70 Appendix A: Research Data YEAR MCAP EXR OPN INT TARIFF 1980 5 0.5464 0.1607561 6.5 1813.5 1981 5.0 0.6100 0.1647636 6.5 2325.8 1982 5.0 0.6729 0.1224487 8 2336 1983 5.7 0.7241 0.1006517 8 1984.1 1984 5.5 0.7649 0.095472 10 1616 1985 6.6 0.8938 0.0976912 10 2183.5 1986 6.8 2.0206 0.0736242 10 1728.2 1987 8.2 4.0179 0.193323 15.8 3540.8 1988 10.0 4.5367 0.1643266 14.3 5672 1989 12.8 7.3916 0.2119088 21.2 5815.5 1990 16.3 8.0378 0.3114093 23 8640.9 1991 23.1 9.9095 0.3540399 20.1 11456.9 1992 31.2 17.2984 0.3833388 20.5 16054.8 1993 47.5 22.0511 0.3053042 28.02 15486.4 1994 66.3 21.8861 0.2092383 15 18294.6 1995 180.4 21.8861 0.5891781 14.27 37364 1996 285.8 21.8861 0.4953967 13.55 55000 1997 281.9 21.8861 0.5076755 7.43 63000 1998 262.6 21.8861 0.3463236 10.09 57.7 1999 300.0 92.6934 0.3865359 14.3 87.9 2000 472.3 102.1052 0.4249008 10.44 101.5 2001 662.5 111.9433 0.3966164 9.98 170.6 2002 764.9 120.9702 0.2873985 16.50 181.4 2003 1,359.3 129.3565 0.388535 13.04 195.5 2004 2,112.5 133.5004 0.3804465 13.32 217.2 2005 2,900.1 132.1470 0.4511631 10.82 232.8 2006 5,120.9 128.6516 0.3640021 8.35 177.7 2007 13,181.7 125.8331 0.3704067 8.10 241.4 2008 9,563.0 118.5669 0.4081138 11.84 281.3 2009 7,030.8 148.8802 0.3180941 12.85 297.5 2010 9,918.2 150.2980 0.3694308 5.67 309.2 2011 10,275.3 153.8616 0.416519 4.70 438.3 2012 14,800.9 157.4994 0.3472949 7.18 474.9 2013 19,077.4 157.3112 0.3084111 5.54 433.6 2014 16,875.1 158.5526 0.2639075 9.16 566.2 2015 17,003.4 193.2792 0.2116016 8.68 546.2 2016 16,185.7 253.4923 0.1804717 6.22 548.8 2017 21,128.9 305.7901 0.2180339 10.88 628 Appendix B: GARCH GRAPH 0 100,000,000 200,000,000 300,000,000 400,000,000 500,000,000 1985 1990 1995 2000 2005 2010 2015 Conditional variance 0 4,000 8,000 12,000 16,000 20,000 24,000 1985 1990 1995 2000 2005 2010 2015 Conditional standard dev iation -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 2 4 8 16 Variance Ratio Statistic Variance Ratio ± 2*S.E. Variance Ratio Statistic for GARCH02 with Robust ± 2*S.E. Bands Appendix C: Augmented Dickey-Fuller Unit Root Test for Market Capitalization Null Hypothesis: D(MCAP) has a unit root Exogenous: Constant Lag Length: 0 (Automatic - based on SIC, maxlag=9) t-Statistic Prob.* Augmented Dickey-Fuller test statistic -5.779224 0.0000 Test critical values: 1% level -3.626784 5% level -2.945842 10% level -2.611531 *MacKinnon (1996) one-sided p-values. Augmented Dickey-Fuller Test Equation Dependent Variable: D(MCAP,2) Method: Least Squares Date: 11/10/19 Time: 12:51 Sample (adjusted): 1982 2017 Included observations: 36 after adjustments Variable Coefficient Std. Error t-Statistic Prob. D(MCAP(-1)) -1.057371 0.182961 -5.779224 0.0000 C 612.5611 365.7037 1.675020 0.1031 R-squared 0.495545 Mean dependent var 137.3111 Adjusted R-squared 0.480708 S.D. dependent var 2966.931 S.E. of regression 2138.028 Akaike info criterion 18.22711 Sum squared resid 1.55E+08 Schwarz criterion 18.31508 Log likelihood -326.0879 Hannan-Quinn criter. 18.25781 F-statistic 33.39943 Durbin-Watson stat 1.909130 Prob(F-statistic) 0.000002 Appendix D: Philip-Peron Unit Root Test for Market Capitalization Null Hypothesis: D(MCAP) has a unit root Exogenous: Constant Bandwidth: 7 (Newey-West automatic) using Bartlett kernel Adj. t-Stat Prob.* Phillips-Perron test statistic -5.747251 0.0000 Test critical values: 1% level -3.626784 5% level -2.945842 10% level -2.611531 *MacKinnon (1996) one-sided p-values. Residual variance (no correction) 4317210. HAC corrected variance (Bartlett kernel) 3645109. Phillips-Perron Test Equation Dependent Variable: D(MCAP,2) Method: Least Squares Date: 11/11/19 Time: 01:02 Sample (adjusted): 1982 2017 Included observations: 36 after adjustments Variable Coefficient Std. Error t-Statistic Prob. D(MCAP(-1)) -1.057371 0.182961 -5.779224 0.0000 C 612.5611 365.7037 1.675020 0.1031 R-squared 0.495545 Mean dependent var 137.3111 Adjusted R-squared 0.480708 S.D. dependent var 2966.931 S.E. of regression 2138.028 Akaike info criterion 18.22711 Sum squared resid 1.55E+08 Schwarz criterion 18.31508 Log likelihood -326.0879 Hannan-Quinn criter. 18.25781 F-statistic 33.39943 Durbin-Watson stat 1.909130 Prob(F-statistic) 0.000002 Appendix E: Kwiatkowski-Phillips-Schmidt-Shin Unit Root Test for Market Capitalization Null Hypothesis: D(MCAP) is stationary Exogenous: Constant Bandwidth: 7 (Newey-West automatic) using Bartlett kernel LM-Stat. Kwiatkowski-Phillips-Schmidt-Shin test statistic 0.427307 Asymptotic critical values*: 1% level 0.739000 5% level 0.463000 10% level 0.347000 *Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1) Residual variance (no correction) 4221730. HAC corrected variance (Bartlett kernel) 3339394. KPSS Test Equation Dependent Variable: D(MCAP) Method: Least Squares Date: 11/11/19 Time: 01:16 Sample (adjusted): 1981 2017 Included observations: 37 after adjustments Variable Coefficient Std. Error t-Statistic Prob. C 570.9162 342.4475 1.667164 0.1042 R-squared 0.000000

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