Using Hall and Heyde's (1980) representation theorem, we show that the stationary co-integration relations of an integrated system are generally non-linear stochastic processes. We propose a sequential non-parametric procedure to test stationary co-integration relations for non-linear dynamics, and apply this procedure to short term U.S. interest rates as an illustration. We demonstrate that the weekly federal funds rate is co-integrated with Treasury bill and commercial paper rates and that the co-integration relations are non-linear.Interest rates ; Time-series analysis
This paper proposes a new framework to analyze the nonstationarity in the time series of state densi...
The core of this work is to introduce the probabilistic techniques used in widely applied financial ...
Most of the earlier work on time series analysis was based on the assumption of linearity of the dat...
Given the assumption that the components of a vector time series are stationary about nonlinear dete...
We introduce and analyze a general bivariate non-linear dynamic system in order to assess the non-li...
In this paper, we look for new opportunities that can be exploited using some of the recent developm...
We test whether there are nonlinearities in the response of short- and long-term interest rates to t...
We propose a new approach for modeling non-linear multivariate interest rate processes based on time...
This article introduces the concept of co-non-linearity. Co-non-linearity is an example of a common ...
This article presents a technique for nonparametrically estimating continuous-time di#usion processe...
In this article, a rolling window strategy is used to detect the linear and non-linear Granger causa...
Recent empirical finance research has suggested the potential for interest rate series to exhibit no...
This study tests whether changes in the short-term interest rate can best be modelled in a non-linea...
We test whether there are nonlinearities in the response of short- and long-term interest rates to t...
ABSTRACT. Fisher’s equation for the determination of the real rate of interest is studied from a fre...
This paper proposes a new framework to analyze the nonstationarity in the time series of state densi...
The core of this work is to introduce the probabilistic techniques used in widely applied financial ...
Most of the earlier work on time series analysis was based on the assumption of linearity of the dat...
Given the assumption that the components of a vector time series are stationary about nonlinear dete...
We introduce and analyze a general bivariate non-linear dynamic system in order to assess the non-li...
In this paper, we look for new opportunities that can be exploited using some of the recent developm...
We test whether there are nonlinearities in the response of short- and long-term interest rates to t...
We propose a new approach for modeling non-linear multivariate interest rate processes based on time...
This article introduces the concept of co-non-linearity. Co-non-linearity is an example of a common ...
This article presents a technique for nonparametrically estimating continuous-time di#usion processe...
In this article, a rolling window strategy is used to detect the linear and non-linear Granger causa...
Recent empirical finance research has suggested the potential for interest rate series to exhibit no...
This study tests whether changes in the short-term interest rate can best be modelled in a non-linea...
We test whether there are nonlinearities in the response of short- and long-term interest rates to t...
ABSTRACT. Fisher’s equation for the determination of the real rate of interest is studied from a fre...
This paper proposes a new framework to analyze the nonstationarity in the time series of state densi...
The core of this work is to introduce the probabilistic techniques used in widely applied financial ...
Most of the earlier work on time series analysis was based on the assumption of linearity of the dat...