Linear predictability of stock market returns has been widely reported. However, recently developed theoretical research has suggested that due to the interaction of noise and arbitrage traders, stock returns are inherently non-linear, whereby market dynamics differ between small and large returns. This paper examines whether an exponential smooth transition threshold model, which is capable of capturing this non-linear behaviour, can provide a better characterization of UK stock market returns than either a linear model or an alternate non-linear model. The results of both in-sample and out-of-sample specification tests support the exponential smooth transition threshold model and hence the belief that investor behaviour does differ betwee...
The UK has a quote-driven pure dealer market structure that is very different from order driven mark...
Recent empirical finance research has suggested the potential for series to exhibit non-linear adjus...
This paper proposes a test for threshold nonlinearity in a time series with generalized autoregressi...
Linear predictability of stock market returns has been widely reported. However, recently developed ...
Using an exponential smooth transition threshold (ESTR) error-correction model, we examine whether r...
Recent empirical evidence suggests that stock market index returns are predictable from a variety of...
Using smooth transition regression model analysis, we examine the non linear predictability of Japan...
This paper models UK stock market returns in a smooth transition regression (STR) framework. We empl...
The testing for and estimation of non-linear dynamics in equity returns is a growing area of empiric...
The testing for and estimation of non-linear dynamics in equity returns is a growing area of empiric...
We perform a comprehensive examination of the recursive, comparative predictive performance of linea...
We perform a comprehensive examination of the recursive, comparative predictive performance of linea...
We systematically examine the comparative predictive performance of a number of linear and non-linea...
Following the debate by empirical finance research on the presence of non-linear predictability in s...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.98088(no 0102) / BLDSC - British...
The UK has a quote-driven pure dealer market structure that is very different from order driven mark...
Recent empirical finance research has suggested the potential for series to exhibit non-linear adjus...
This paper proposes a test for threshold nonlinearity in a time series with generalized autoregressi...
Linear predictability of stock market returns has been widely reported. However, recently developed ...
Using an exponential smooth transition threshold (ESTR) error-correction model, we examine whether r...
Recent empirical evidence suggests that stock market index returns are predictable from a variety of...
Using smooth transition regression model analysis, we examine the non linear predictability of Japan...
This paper models UK stock market returns in a smooth transition regression (STR) framework. We empl...
The testing for and estimation of non-linear dynamics in equity returns is a growing area of empiric...
The testing for and estimation of non-linear dynamics in equity returns is a growing area of empiric...
We perform a comprehensive examination of the recursive, comparative predictive performance of linea...
We perform a comprehensive examination of the recursive, comparative predictive performance of linea...
We systematically examine the comparative predictive performance of a number of linear and non-linea...
Following the debate by empirical finance research on the presence of non-linear predictability in s...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.98088(no 0102) / BLDSC - British...
The UK has a quote-driven pure dealer market structure that is very different from order driven mark...
Recent empirical finance research has suggested the potential for series to exhibit non-linear adjus...
This paper proposes a test for threshold nonlinearity in a time series with generalized autoregressi...