National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
The cost of carry model in stock index futures: theory and reality
Němcová, Marika ; Dědek, Oldřich (advisor) ; Kučera, Adam (referee)
The thesis investigates the pricing efficiency of the commonly used cost of carry model in pricing stock index futures and its applicability on the German blue-chip index DAX and related futures contracts in recent years. The work considers the deviations of the observed futures prices from their theoretical counterparts as well as the fitness of the model through regression analysis. The results show that while there are many deviations from the fair values suggested by the model these are small in magnitude when compared with the potential transaction costs implying the contracts are efficiently priced. It is confirmed that there is a cointegrating relationship between futures and spot index values, however, given the regression analysis results the prices do not entirely follow the model design. The other part of the analysis focuses on the behaviour of the basis throughout the life of the relevant futures contracts. The results suggest that there is indeed a decreasing tendency towards the expiration of a contract, nevertheless, it is subject to considerable fluctuations. The paper also documents other factors that might impact stock index futures prices yet not included in the standard pricing formula. JEL Classification C12, C14, C22, G13 Keywords stock index futures, futures pricing , cost of carry,...
The cost of carry model in stock index futures: theory and reality
Němcová, Marika ; Dědek, Oldřich (advisor) ; Kučera, Adam (referee)
The thesis investigates the pricing efficiency of the commonly used cost of carry model in pricing stock index futures and its applicability on the German blue-chip index DAX and related futures contracts in recent years. The work considers the deviations of the observed futures prices from their theoretical counterparts as well as the fitness of the model through regression analysis. The results show that while there are many deviations from the fair values suggested by the model these are small in magnitude when compared with the potential transaction costs implying the contracts are efficiently priced. It is confirmed that there is a cointegrating relationship between futures and spot index values, however, given the regression analysis results the prices do not entirely follow the model design. The other part of the analysis focuses on the behaviour of the basis throughout the life of the relevant futures contracts. The results suggest that there is indeed a decreasing tendency towards the expiration of a contract, nevertheless, it is subject to considerable fluctuations. The paper also documents other factors that might impact stock index futures prices yet not included in the standard pricing formula. JEL Classification C12, C14, C22, G13 Keywords stock index futures, futures pricing , cost of carry,...
Hedge Effectiveness in Copper Futures Market: Case study for "Erdenet" Mining Co.Ltd in Mongolia
Khurelbaatar, Baigali ; Krištoufek, Ladislav (advisor) ; Serdarevič, Goran (referee)
The objective of the thesis is to analyze the copper futures market in London Metal Exchange (LME) and to recommend appropriate hedging strategy in copper futures market to the Erdenet Mining Corporation in Mongolia. It uses daily official settlement copper prices of LME in the spot and 3 month futures markets from 2000-2014. Initially, we use cointegration test and ECM to investigate the copper market efficiency. Then OLS, ECM, GARCH, EGARCH and ECM-GARCH models are employed to compute different optimum hedge ratios. Finally, the hedge effectiveness is measured based on minimization of the value of AIC and SBIC. Our result indicate that copper futures market is inefficient. Hedge effectiveness comparison concludes that ECM model gives the best hedging performance. However, ECM-GARCH is accounted to be the best model for hedging strategy since it captures the time-varying conditional heteroscedasticity to ECM model. Powered by TCPDF (www.tcpdf.org)

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