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Bu çal??mada Türkiye’de pay senetleri fiyatlar? ile döviz kurlar? aras?ndaki ili?ki, VAR metodu (vektör oto regresyon modeli) kullan?larak ara?t?r?lm??t?r. Döviz kurlar? ve pay senedi fiyatlar?ndan olu?an de?i?kenler aras?nda do?rusal bir ba??nt? olup olmad???n?n tespiti amac?yla bu model kullan?lm??t?r. Bu amaçla, döviz kurlar?, B?ST Banka ve B?ST S?nai endeksleri ele al?nm??t?r. Veriler Ocak 2011’den Aral?k 2014’e kadar olan döneme ait günlük de?i?meleri içermektedir. Türkiye’de en fazla i?lem yap?lan döviz kurlar? ABD dolar? ve Euro oldu?u için, bu kurlar tercih edilmi?tir.

The study concentrates on the benefits of passive commodity investments in the context of the phenomenon of financialization. The research investigates the implications of increase in the correlation coefficients between equity and commodity investments for investors in financial markets. The paper is composed of several parts. First, the attributes of commodity investments and their benefits in the portfolio optimization are explored. Second, the phenomenon of the financialization is described and the research hypothesis is developed. Next, an empirical analysis is performed. I simulate the mean-variance spanning tests to examine the benefits of commodity investments before and after accounting for the impact of financialization. I proceed separate analysis for pre- and post-financialization period. The empirical research is based on asset classes’ returns and other related variables from years 1991-2012. The performed investigations indicate that the market financialization may have significant implications for commodity investors. Due to increase in correlation coefficients, the inclusion of the commodity futures in the traditional stock-bond portfolio appears to be no longer reasonable.

As two important constituents of China’s macro economy, there are a variety of relationships among China’s stock market, real estate market and its macro economy. In order to investigate these relationships, in this paper, especially with the Macroeconomic Boom Index reflecting China’s macro economy, we use cointegration theory and Granger analysis to demonstrate that there are long-term equilibrium relationship and bidirectional causality between the macro economy and the securities business, also between the macro economy and the real estate market, however, this kind of long-term Equilibrium relationship and bidirectional causality appears very weak.

The pricing of six highly liquid futures commodity contracts is investigated using a Markov switching procedure. The data set spans an exceptionally turbulent period, characterized by a complex interplay of economic/financial and political shocks. Markov switching analysis exploits time series nonlinearity to identify the nature and the timing of the implicit changes of regime. Building on a HAM framework, we use the time varying parameterization of the transition probability estimates to link these shifts to exogenous variables. We provide in this way additional information on the co-movement of the time series and on their regime shifts, eventually conducive to herding pricing behaviour. The WTI oil futures price and DJIA stock index are used as proxies for global shocks as they turn out to be the main common drivers of the changes in regime of most futures commodity prices.   

The pricing of six highly liquid futures commodity contracts is investigated using a Markov switching procedure. The data set spans an exceptionally turbulent period, characterized by a complex interplay of economic/financial and political shocks. Markov switching analysis exploits time series nonlinearity to identify the nature and the timing of the implicit changes of regime. Building on a HAM framework, we use the time varying parameterization of the transition probability estimates to link these shifts to exogenous variables. We provide in this way additional information on the co-movement of the time series and on their regime shifts, eventually conducive to herding pricing behaviour. The WTI oil futures price and DJIA stock index are used as proxies for global shocks as they turn out to be the main common drivers of the changes in regime of most futures commodity prices.   

Bu çal??mada Türkiye’de pay senetleri fiyatlar? ile döviz kurlar? aras?ndaki ili?ki, VAR metodu (vektör oto regresyon modeli) kullan?larak ara?t?r?lm??t?r. Döviz kurlar? ve pay senedi fiyatlar?ndan olu?an de?i?kenler aras?nda do?rusal bir ba??nt? olup olmad???n?n tespiti amac?yla bu model kullan?lm??t?r. Bu amaçla, döviz kurlar?, B?ST Banka ve B?ST S?nai endeksleri ele al?nm??t?r. Veriler Ocak 2011’den Aral?k 2014’e kadar olan döneme ait günlük de?i?meleri içermektedir. Türkiye’de en fazla i?lem yap?lan döviz kurlar? ABD dolar? ve Euro oldu?u için, bu kurlar tercih edilmi?tir.

The study concentrates on the benefits of passive commodity investments in the context of the phenomenon of financialization. The research investigates the implications of increase in the correlation coefficients between equity and commodity investments for investors in financial markets. The paper is composed of several parts. First, the attributes of commodity investments and their benefits in the portfolio optimization are explored. Second, the phenomenon of the financialization is described and the research hypothesis is developed. Next, an empirical analysis is performed. I simulate the mean-variance spanning tests to examine the benefits of commodity investments before and after accounting for the impact of financialization. I proceed separate analysis for pre- and post-financialization period. The empirical research is based on asset classes’ returns and other related variables from years 1991-2012. The performed investigations indicate that the market financialization may have significant implications for commodity investors. Due to increase in correlation coefficients, the inclusion of the commodity futures in the traditional stock-bond portfolio appears to be no longer reasonable.

As two important constituents of China’s macro economy, there are a variety of relationships among China’s stock market, real estate market and its macro economy. In order to investigate these relationships, in this paper, especially with the Macroeconomic Boom Index reflecting China’s macro economy, we use cointegration theory and Granger analysis to demonstrate that there are long-term equilibrium relationship and bidirectional causality between the macro economy and the securities business, also between the macro economy and the real estate market, however, this kind of long-term Equilibrium relationship and bidirectional causality appears very weak.