Showing 1 - 10 of 102
Tsai and Chan (2003) has recently introduced the Continuous-time Auto-Regressive Fractionally Integrated Moving-Average (CARFIMA) models useful for studying long-memory data. We consider the estimation of the CARFIMA models with discrete-time data by maximizing the Whittle likelihood. We show...
Persistent link: https://www.econbiz.de/10005676654
We develop a new class of time continuous autoregressive fractionally integrated moving average (CARFIMA) models which are useful for modelling regularly spaced and irregu-larly spaced discrete time long memory data. We derive the autocovariance function of a stationary CARFIMA model and study...
Persistent link: https://www.econbiz.de/10005140224
We study the autocorrelation structure of aggregates from a continuous-time process. The underlying continuous-time process or some of its higher derivative is assumed to be a stationary continuous-time auto-regressive fractionally integrated moving-average (CARFIMA) process with Hurst parameter...
Persistent link: https://www.econbiz.de/10005285099
We study the autocorrelation structure and the spectral density function of aggregates from a discrete-time process. The underlying discrete-time process is assumed to be a stationary AutoRegressive Fractionally Integrated Moving-Average (ARFIMA) process, after suitable number of differencing if...
Persistent link: https://www.econbiz.de/10005260704
Recently, there has been much research on developing models suitable for analysing the volatility of a discrete-time process. Since the volatility process, like many others, is necessarily non-negative, there is a need to construct models for stationary processes which are non-negative with...
Persistent link: https://www.econbiz.de/10005177480
Tsai and Chan (2003) has recently introduced the Continuous-time Auto-Regressive Fractionally Integrated Moving-Average (CARFIMA) models useful for studying long-memory data. We consider the estimation of the CARFIMA models with discrete-time data by maximizing the Whittle likelihood. We show...
Persistent link: https://www.econbiz.de/10014062979
We study the autocorrelation structure and the spectral density function of aggregates from a discrete-time process. The underlying discrete-time process is assumed to be a stationary AutoRegressive Fractionally Integrated Moving-Average (ARFIMA) process, after suitable number of differencing if...
Persistent link: https://www.econbiz.de/10014064457
The Monetary Authority of Singapore (MAS) has a long-standing policy of controlling bank lending in Singapore dollars to nonresidents and to residents who use the funds outside Singapore. While the control may prevent the internationalization of the Singapore dollar and contain exchange rate...
Persistent link: https://www.econbiz.de/10014396057
We consider the parameter restrictions that need to be imposed to ensure that the conditional variance process of a GARCH(<italic>p</italic>,<italic>q</italic>) model remains nonnegative. Previously, Nelson and Cao (1992, <italic>Journal of Business ’ Economic Statistics</italic> 10, 229–235) provided a set of necessary and sufficient...
Persistent link: https://www.econbiz.de/10005104571
Persistent link: https://www.econbiz.de/10008784063