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Measured over long horizons, the correlation between stocks and commodities is close to zero. However, it varies widely over time. Using historical data extending back to 1960 we study the stock-commodity correlation and show: (1) Stock-commodity correlation has a business-cycle component: it is...
Persistent link: https://www.econbiz.de/10013034511
Measured over long horizons, the correlation between stocks and commodities is close to zero. However, it varies widely over time. Using historical data extending back to 1960 we study the stock-commodity correlation and show: (1) stock-commodity correlation has a business cycle component: it is...
Persistent link: https://www.econbiz.de/10013091587
Persistent link: https://www.econbiz.de/10009260353
Persistent link: https://www.econbiz.de/10003675685
Persistent link: https://www.econbiz.de/10003309394
This chapter builds on previous work by Bhardwaj and Swanson (2004) who address the notion that many fractional I(d) processes may fall into the empty boxʺ category, as discussed in Granger (1999). However, rather than focusing primarily on linear models, as do Bhardwaj and Swanson, we analyze...
Persistent link: https://www.econbiz.de/10003698258
This paper makes two contributions. First, we outline a simple simulation based framework for constructing conditional distributions for multi-factor and multi-dimensional diffusion processes, for the case where the functional form of the conditional density is unknown. The distributions can be...
Persistent link: https://www.econbiz.de/10003698268
This paper makes two contributions. First, we outline a simple simulation based framework for constructing conditional distributions for multi-factor and multi-dimensional diffusion processes, for the case where the functional form of the conditional density is unknown. The distributions can be...
Persistent link: https://www.econbiz.de/10014062174
Persistent link: https://www.econbiz.de/10015385594