The aim of this paper is to identify the role industrial sector plays in driving the GDP of Nigeria. The paper further seeks to predict the long-run behavioral relationship between industrial production, non-oil exports and economic growth in Nigeria using data from 1970 -2007. Vector Error Correction Mechanism (VECM) was utilized to establish the co-integrating relationship between industrial production, non-oil exports and GDP. The paper reveals the existence of a positive and significant uni-directional relationship that runs from industrial production to non-oil exports. It was further evident in the study that the current policies on industrial production in Nigerian do not sufficiently encourage non-oil export. The paper therefore predicts an imminent collapse of the Nigerian manufacturing industries in the nearest future if immediate remedial measures are not quickly taken to strengthen the ailing industries. The paper among other things encourages the government to strengthen the legislative and supervisory framework of the Agricultural Credit Guarantee Scheme in Nigeria.

Aim: The paper aimed at examining the asymmetric effect of oil price shock on exchange rate and domestic investment in Nigeria. Study Design: Country case study. Place and Duration of Study: Nigeria. Time series data ranging from 1970-2010. Methodology: This study utilised elaborate econometric analysis which tests the sensitivity of exchange rate, private investment, public investment, per capita income and industrial production to oil price shocks, using the Impulse Response Functions (IRFs) and Variance Decomposition (VDC) techniques within a Vector Autoregressive (VAR) framework. Results: The result clearly revealed that while government expenditure exhibited immediate positive response to oil price shock, public investment, private investment and industrial production exhibited negative response to oil price shock, further confirming the evidence of "Dutch disease" in Nigeria. The variance decomposition analysis further revealed that exchange rate, government expenditure and domestic investment were mainly affected by oil shock, particularly, in the short run. Conclusion: The study concludes that volatility in crude oil prices has negative impact on domestic investment and industrial development in Nigeria. It is recommended among other things in this study that the usual practice of sharing oil windfalls to the three tiers of government should be discouraged; rather, the central government should allocate these windfalls to priority sectors of the economy to enhance development.

This study examines if the Capital Asset Pricing Model (CAPM) can be applied to the Douala Stock Exchange. The study utilized monthly stock returns from the three companies listed on the Douala Stock Exchange (DSX), for the period 30th April 2009 to 31st August 2017. Ordinary Least Square regression analysis was adopted for the study to examine if individual stocks can predict a better stock beta. The Black, Jensen, and Scholes (1972) CAPM version were also examined in this study to assess the validity of the zero beta estimate. The result of the individual estimates could not establish the validity of the CAPM theory. Further analysis showed that the Beta for the three assets combined portfolio was not statistically significant. However, when two securities were combined into a single asset portfolio, the portfolio bêta was statistically significant. The significant result of the two asset portfolio confirms that Beta was a linear function of security returns in the DSX market. The study concludes that there will be a need for the government of Cameroun to liberalize the DSX market and allow more firms to be quoted on the floor of the exchange. This decision will allow for the deepening of the DSX market, enhance the liquidity level of the market, and enable investors to reap adequate returns from their investment through holding a portfolio of assets.

Bank capital is one of the protective and necessary parameters for better performance in any banking system. This may explain why the industry in Nigeria has been constantly recapitalized for sectorial enhancement. Given the various bank capital reforms the sectors have undergone and a number of interventions, the question arose: How adequate is capital? The study used descriptive statistics and Levene’s test for equality of variance, as well as an independent sample t-test to look at the (10) ten various performance parameters for both pre- and post- recapitalization periods. From the results of the analysis, most of the performance parameters did not improve after post-recapitalization. This answers the question posed by the study that capital is not adequate in the Nigerian banking sector. Therefore, there is a need to inject more bank capital into the Nigerian banking sector if this sector must have a greater impact and respond to the challenges of the Nigerian economy for sustainable growth and development.

This study is aimed at determining the optimal portfolio in a three-asset portfolio mix in Nigeria. The research employed majorly two empirical methodologies which were Matrix algebra and Lagrangian method of optimization. Matrix algebra was used to compute the various portfolio weights. Lagrangian method of optimization was useful in obtaining the global minimum variance and the efficient frontier of the portfolio. In order to arrive at the best asset in the portfolio that is expected to yield maximum expected return, the study employed the utility function test. The data used for the study were daily stock prices for First Bank Nigeria Plc, Guinness Nigeria Plc and Cadbury Nigeria Plc obtained from the Nigerian Stock Exchange for the period of January 2010 to December 2013 The result obtained from the analysis indicated that among the three assets chosen in the study, Guinness has the highest utility value of 0.031 with lowest risk of 4.268 and the investment opportunity point ( ) , µ σ which is (0.169, 2.065) lies on the Capital Market Line. The assets of Guinness and First Bank are located above the Global Minimum at point ( ) , µ σ which is (0.10, 1.84) and are said to be efficient assets with high expected returns and low risk. The study therefore concluded that First Bank and Guinness were the only efficient optimal assets in the three asset-portfolio mix and therefore, the preferred choice for every investor since they yielded a high return with minimum variance.