The stylised facts of stock price movements are statistical properties expected to be present in any sufficiently long series of observed stock prices. The below is a review of the current literature on the presence and identification of these stylised facts in observed price series for stocks listed in both developed and developing markets. Frequently identified stylised facts include the heavy tailed distribution of observed stock price returns, the significant autocorrelation of absolute and squared observed returns ("volatility clustering"), the slow decay of the autocorrelation function of absolute observed returns, and the Taylor and Leverage effects
It is shown that regression trees can be used to give useful predictions of the average price moveme...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
Stock market data tends to display distinct characteristics commonly known as “stylized facts”. The...
We investigated distributions of short term price trends for high frequency stock market data. A num...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
In this article, the author develops a simple stock-market model of a stochastic type and derives a ...
We present an empirical study of the subordination hypothesis for a stochastic time series of a stoc...
This study presents an application of operations research techniques to the development of stock pri...
In this thesis, we analyze and explain various properties of stock price changes. The change of a st...
In this paper, we test the Johannesburg Stock Exchange market for the existence of the random walk h...
We investigate the random walk of prices by developing a simple model relating the properties of the...
While many technical trading rules are based upon patterns in asset prices, we lack convincing expla...
We investigate the random walk of prices by developing a simple model relating the properties of the...
In this article we test the random walk hypothesis in the German daily stock prices by means of a un...
Since Benoit Mandelbrot\u27s discovery of the fractal nature of financial price series, the quantita...
It is shown that regression trees can be used to give useful predictions of the average price moveme...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
Stock market data tends to display distinct characteristics commonly known as “stylized facts”. The...
We investigated distributions of short term price trends for high frequency stock market data. A num...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
In this article, the author develops a simple stock-market model of a stochastic type and derives a ...
We present an empirical study of the subordination hypothesis for a stochastic time series of a stoc...
This study presents an application of operations research techniques to the development of stock pri...
In this thesis, we analyze and explain various properties of stock price changes. The change of a st...
In this paper, we test the Johannesburg Stock Exchange market for the existence of the random walk h...
We investigate the random walk of prices by developing a simple model relating the properties of the...
While many technical trading rules are based upon patterns in asset prices, we lack convincing expla...
We investigate the random walk of prices by developing a simple model relating the properties of the...
In this article we test the random walk hypothesis in the German daily stock prices by means of a un...
Since Benoit Mandelbrot\u27s discovery of the fractal nature of financial price series, the quantita...
It is shown that regression trees can be used to give useful predictions of the average price moveme...
Many studies assume stock prices follow a random process known as geometric Brownian motion. Althoug...
Stock market data tends to display distinct characteristics commonly known as “stylized facts”. The...