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<title>OIL PRICE DYNAMICS AND STOCK MARKET  RETURNS IN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1507" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/1507</id>
<updated>2026-04-06T22:58:31Z</updated>
<dc:date>2026-04-06T22:58:31Z</dc:date>
<entry>
<title>OIL PRICE DYNAMICS AND STOCK MARKET  RETURNS IN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1508" rel="alternate"/>
<author>
<name>AKACHUKWU, STANLEY UCHE</name>
</author>
<id>http://hdl.handle.net/123456789/1508</id>
<updated>2022-02-23T12:56:34Z</updated>
<published>2021-12-01T00:00:00Z</published>
<summary type="text">OIL PRICE DYNAMICS AND STOCK MARKET  RETURNS IN NIGERIA
AKACHUKWU, STANLEY UCHE
Stock market is a major source of finance for investors and firms. However, its ability to perform &#13;
this role may be hindered by risk from Oil Price Dynamics (OPD) which makes stock returns &#13;
uncertain. This risk is pronounced in Nigeria because derivative markets are still underdeveloped. &#13;
The OPD either undervalues or overvalues the actual stock price and results in liquidity challenges &#13;
to portfolio investors and firms. Sectoral analysis tends to unmask and pin-down the exact &#13;
relationship between each sectoral‟s stock return and OPD. While existing studies have investigated &#13;
the impact of OPD on Firms‟ Stock Returns (FSR) at aggregate level, little attention has been&#13;
devoted to sectoral analysis. This study was, therefore, designed to investigate the effects of OPD&#13;
on FSR at sectoral and aggregate levels in Nigeria.&#13;
The Arbitrage Pricing Theory provided the framework. A Nonlinear Auto-Regressive Distributed &#13;
Lag econometric model that captures OPD (positive and negative oil price change) was explored. &#13;
Eleven sectors on the Nigerian Stock Exchange (NSE) were considered: Agriculture, Consumer &#13;
Goods (CG), Construction, Finance, Oil &amp; Gas (OG), Information and Communication &#13;
Technologies (ICT), Conglomerates, Health, Services, Industrial and Natural Resources (NR). The &#13;
OPD and other determinants of FSR (Exchange Rate-ER, World Market Risk-WMR, Lag of Firms‟ &#13;
Stock Return-LFSR and Domestic Market Liquidity-DML) were explored. The FSR was measured &#13;
by logarithm difference of two successive closing periods of stock price. Sectoral and aggregate &#13;
models were estimated both in the short-run (SR) and long-run (LR) using daily data from January &#13;
6th, 2007 to December 31st, 2017. Data were obtained from Central Bank of Nigeria statistical &#13;
bulletin, NSE annual report and Energy Information Administration annual energy outlook. All &#13;
estimates were validated at α≤0.05.&#13;
The SR estimates showed that positive OPD increased returns of financial (0.19; Pe=0.02) and &#13;
conglomerates (0.10; Pe=0.05) sectors, but reduced that of CG (-0.04; Pe=0.02). When negative &#13;
OPD decreased by 1%, it reduced stock returns of financial (-0.14; Pe=0.05), CG (-0.08; Pe=0.02), &#13;
health (-0.06; Pe=0.03) and industrial (-0.05; Pe=0.02) sectors, but improved that of OG (0.06;&#13;
Pe=0.02) sector in the SR. In the LR, when OPD increased by 1%, stock returns of OG (2.38; &#13;
Pe=0.01), conglomerates (5.97; Pe=0.05), financial (3.837; Pe=0.00), CG (1.309; Pe=0.01) sectors &#13;
gained values but that of construction lost (-2.94; Pe=0.04). The estimates also showed that 1% &#13;
decrease in negative OPD led to reduction in returns of CG (-39.59; Pe=0.03), financial (-18.81; &#13;
Pe=0.02), OG (-1.73; Pe=0.01), health (-0.29; Pe=0.01) sectors, while construction (2.46; Pe=0.04) &#13;
and conglomerates (9.39; Pe=0.01) sectoral returns gained. In the aggregate, an increase in positive &#13;
and negative OPD by 1% results in (-0.11; Pe=0.01)% and (-0.10; Pe=0.02)% reduction &#13;
respectively in the stock returns of the NSE in the SR. In the LR, positive OPD improved returns by &#13;
(5.13; Pe=0.04), while stocks lost value (-25.4; Pe=0.02) due to a percentage drop in negative OPD. &#13;
Oil price dynamics had differential impact on sectoral stock returns in Nigeria. Thus, managers &#13;
need to design better strategies to protect respective sectoral‟s returns from oil price shocks.
</summary>
<dc:date>2021-12-01T00:00:00Z</dc:date>
</entry>
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