While there are various theories to account for the large variations in stock prices, some observed statistical aspects require further analysis. A model is proposed for aggregate stock prices, based on observed data, rather than any efficient market hypothesis, and considering jumps in statistical parameters between phases of generally increasing, or generally decreasing, aggregate stock prices. The model relates a critical parameter for short-term behaviour directly to financial factors, especially interest rates, to explain large short-term variations which follow a non-Gaussian distribution. Economic fundamentals may affect changes over longer periods
This paper aims to investigate the dynamic links between exchange rate fluctuations and stock market...
Price fluctuations in financial markets are influenced by a multitude of economic, societal, and oth...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
Practitioners and researchers who have handled financial market data know that asset returns do not ...
The variability and the return on a financial asset on the grounds of historical price data is deter...
Mathematical modelling is one of the fundamental elements in the modern financial industry, playing ...
The standard “Brownian ” model of competitive markets asserts that the increments of price (or of it...
In this paper we construct a model of stock market, interest rate and output interaction which is a ...
Stock prices are known to exhibit non-Gaussian dynamics, and there is much interest in understanding...
In this paper we construct a model of stock market, interest rate and output interaction which is a ...
The volatility of financial instruments is rarely constant, and usually varies over time. This creat...
Most research on stock prices is based on the present value model or the more general consumption-ba...
Most research on stock prices is based on the present value model or the more general consumption-ba...
Granger (1969) causality tests and Sims\u27 (1980) innovation accounting are used to explain fluctua...
We introduce a discrete-time model of stock index return dynamics grounded on the ability of Shiller...
This paper aims to investigate the dynamic links between exchange rate fluctuations and stock market...
Price fluctuations in financial markets are influenced by a multitude of economic, societal, and oth...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
Practitioners and researchers who have handled financial market data know that asset returns do not ...
The variability and the return on a financial asset on the grounds of historical price data is deter...
Mathematical modelling is one of the fundamental elements in the modern financial industry, playing ...
The standard “Brownian ” model of competitive markets asserts that the increments of price (or of it...
In this paper we construct a model of stock market, interest rate and output interaction which is a ...
Stock prices are known to exhibit non-Gaussian dynamics, and there is much interest in understanding...
In this paper we construct a model of stock market, interest rate and output interaction which is a ...
The volatility of financial instruments is rarely constant, and usually varies over time. This creat...
Most research on stock prices is based on the present value model or the more general consumption-ba...
Most research on stock prices is based on the present value model or the more general consumption-ba...
Granger (1969) causality tests and Sims\u27 (1980) innovation accounting are used to explain fluctua...
We introduce a discrete-time model of stock index return dynamics grounded on the ability of Shiller...
This paper aims to investigate the dynamic links between exchange rate fluctuations and stock market...
Price fluctuations in financial markets are influenced by a multitude of economic, societal, and oth...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...