Feldstein/Horioka
 
INTRODUCTION
 
 
. The Feldstein-Horioka "puzzle" comes from a paper published by Martin Feldstein and Charles Horioka in 1980. This paper was looking at a problem related to understanding a complex relationship between foreign direct investment, savings, and capital mobility. 

In simple simple terms, big huge companies move around the world to operate where they can make more profits 

"Feldstein and Horioka (1980) have proposed to measure capital mobility using the degree of correlation between saving and investment rates. The theoretical rationale for the Feldstein-Horioka hypothesis is that perfect capital mobility drives a wedge between saving and investment, as savers would face the same (world) interest rate. If, on the other hand, capital mobility is low, a wedge will be driven between the domestic and foreign costs of borrowing. Thus, under high capital mobility saving and investment will be weakly correlated and vice versa. "
from  http://www.ecomod.net/conferences/ecomod2005/ecomod2005_papers/788.doc 


 
Feldstein/Horioka

by Georgopoulosa and 
Hejazi

. In 2007, Prof. George Georgopoulosa and Prof. Walid Hejazi had an article discussing Feldstein/Horioka
which was published in the International Review of Economics & Finance

Georgopoulosa teaches economics at York University
Hejazi (the creator of MGTC46) teaches business and management at 
Rotman (St. George campus of U of T) and UTSC (Scarborough campus)

this is the abstract of that 2007 article

"The large correlation between domestic savings and investment is well documented and is known as the Feldstein–Horioka puzzle. We demonstrate that estimates of the FH coefficients using the standard framework are biased upward in the presence of highly positively correlated inward and outward capital flows. Using data for the 14 OECD countries, the analysis shows that the significant home bias documented by FH and others is also consistent with much higher levels of capital mobility when capital outflows and inflows are highly positively correlated. Taking account for these correlations reduces the estimated home bias somewhere between 45% and 90%."
 
 
 
 
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