The Impact of Global Financial Crisis on Informational Efficiency: Evidence from Price-Volume Relationship in Crude Palm Oil Futures Market

2015 ◽  
Author(s):  
You-How Go ◽  
Wee-Yeap Lau
Author(s):  
Monday Osagie Adenomon ◽  
Ngozi G. Emenogu

This study investigates the impact of global financial crisis and the present COVID-19 pandemic on daily and weekly Crude oil futures using four variants of ARMA-GARCH models: ARMA-sGARCH, ARMA-eGARCH, ARMA-TGARCH and ARMA- aPARCH with dummy variables We also investigated the persistence, half-life and backtesting of the models. This study therefore seeks to contribute to the body of literature on the impact of global financial crisis and the present COVID-19 pandemic on crude oil futures market. This investigation of the impact of global financial crisis and the COVID-19 on crude oil futures has not been much studied at present. We obtained and analyzed the daily and weekly crude oil futures from secondary sources. Daily crude oil futures used in this study covers the period from the 4th January 2000 to 27th April 2020 while the weekly crude oil futures covered from 2ndJanuary 2000 to 26th April 2020 . The global financial crisis period covered from 2nd July 2007 to 31st March 2009 and the current COVID-19 pandemic covered from 1st January 2020 to 27th April, 2020. The study used both student t and skewed student t innovations with AIC, goodness-of-test fit and backtesting to select the best model. Most of the estimated ARMA-GARCH models are supported by skewed student t distribution while most of the ARMA-GARCH models exhibited high persistence values in the presence of global financial crisis and the COVID-19 pandemic. In the overall, the estimated ARMA(1,0)-eGARCH(2,1) and ARMA(1,0)-eGARCH(2,2) model for daily crude oil futures and weekly crude oil futures respectively have been significantly impacted by the global financial crisis and the Present COVID-19 pandemic while the preferred estimated models also passed the goodness-of-test fit and backtesting.This study recommends shareholders and investors should think outside the box as crude oil futures tend to be affected by global financial crisis and COVID-19 pandemic while countries also that depend mostly on crude oil are encouraged to diversify their economy in other to survive and be sustained during financial and health crisis.


2020 ◽  
Vol 12 (2) ◽  
pp. 115-136
Author(s):  
You-How Go ◽  
◽  
Wee-Yeap Lau ◽  

This study examines the role of trading volume in the crude palm oil (CPO)futures market as a proxy for information áow from the perspective of the mixture-of-distributions hypothesis (MDH). Using the data from January 2000 to April 2017, a sym-metric GARCH model has been estimated, in which the residuals follow alternatively thenormal Student-t and generalised error distribution. An alternative augmented model thatconsists of trading volume as an exogenous variable is estimated with the same error dis-tributions. Our results suggest several conclusions: First, the trading volume could not actas a true proxy for information áow. This indicates that volume of futures trading containsrelatively less price-sensitive information. Secondly, the inclusion of trading volume into theconditional variance equation with Student-t distributed errors is important for modellingpurposes when the returns are leptokurtic and positively skewed. Hence, it can be concludedthat the use of return and trading volume will enhance the current information set usedby practitioners and analysts in pricing the CPO futures contract when there exists a highdegree of leptokurtosis in the returns. This is the Örst study that validates the MDH in thecontext of the CPO futures market


2018 ◽  
Vol 2 (2) ◽  
pp. 162-174
Author(s):  
Monsurat Ayojimi Salami ◽  
Razali Haron

PurposeThe purpose of this paper is to examine the pricing efficiency of the Malaysian crude palm oil (CPO) market before and after the structural break. This study uses the daily closing price of CPO and CPO futures (CPO-F) for the period ranging from June 2009 to August 2016 while taking structural breaks into account.Design/methodology/approachIn this study, symmetric and asymmetric long-run relationship model are employed, such as the Johansen cointegration, VECM, TAR and M-TAR models, to examine the impact of structural breaks on the pricing efficiency of the Malaysian CPO market.FindingsThis finding establish that Malaysian CPO price is efficient before and after the structural break. The consistent efficiency of the Malaysian CPO market supports the trading of the CPO-F in Globex and the use of Malaysian CPO pricing as the reference price. This study establishes that a structural break in the Malaysian CPO price series does not affect the pricing efficiency of the market.Research limitations/implicationsThis study shows that using Malaysian CPO price as a reference price is sustainable even in the event of a structural break. Therefore, market participants in the Malaysian CPO market have less to worry about the CPO price as it supports the weak form of efficiency. Price deviation in the short run may not lead to arbitrage profit as transaction cost may not be covered.Practical implicationsThis study implies that if there is distortion in the price due to shocks, both manufacturers and producers need to hedge their positions in the futures market (subject to their positions in the underlying market). By entering into the futures market, pricing is locked in advance; hence, price risk is eliminated. Such a distortion could also affect the efficiency of the CPO price, therefore this study also addresses the issue of efficiency of the local CPO market.Originality/valuePrevious studies on Malaysian CPO pricing efficiency did not take the effect of structural break into consideration, making it difficult for these studies to show consistency in the efficiency of the Malaysian CPO market.


2018 ◽  
Vol 17 (2) ◽  
pp. 123
Author(s):  
Noryati Ahmad ◽  
Ahmad Danial Zainudin ◽  
Fahmi Abdul Rahim ◽  
Catherine S F Ho

Since its establishment, Crude Palm Oil futures contract (FCPO) has been used to directly hedge its physical crude palm oil (CPO). However, due to the excessive speculation activities on crude palm oil futures market, it has been said to be no longer an effective hedging tool to mitigate the price risk of its underlying physical market. This triggers the need for market players to find possible alternatives to ensure that the hedging role can be executed effectively. Thus this investigation attempts to examine whether other inter-related grains and oil seed futures contracts could serve as effective cross-hedging mechanisms for the CPO. Weekly data of inter-related futures contracts from Chicago Board of Trade (CBOT) and Dalian Commodity Exchange (DCE) are employed to cross hedge the physical crude palm oil prices. The study starts from 2006 until 2016. Empirical results indicate that FCPO is still the best futures contract for hedging purposes while Chicago Soybean (CBOTBO) provides second best alternative if cross-hedging is considered. Keywords: Crude palm oil, Crude palm oil futures, Cross Hedging, Optimal Hedge Ratio, Effective Hedging


2015 ◽  
Vol 6 (01-02) ◽  
Author(s):  
Anis Ur Rehman ◽  
Yasir Arafat Elahi ◽  
Sushma .

India has recently emerged as a major political and economic power in the world. The financial crisis that engulfed the world in 2008 needed developing countries like India to lead the rescue and recovery, instead of G7 westerns countries who dealt with such crisis in the past. Recently, discussions and negotiations are going amongst G20 countries regarding a new global financial architecture (G-20 Summit, 2008). The outcome will affect the relevant industries in India and hence it is a public interest issue for the actuarial profession in the country. Increased and more intrusive and costly regulations and red tapes are likely to be a part of the new deal (Economic Survey 2009-10). The objective of this paper is to study the perception of higher level authorities in Insurance sector regarding the role of regulator in minimizing the impact of global financial crisis. The primary data has been collected from 200 authorities in insurance industry. The data has been analyzed with statistical tools like MS-Excel. On the basis of the findings, various measures and policy recommendations for insurers have been suggested to minimize the impact of crisis.


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