This paper develops a simple but general methodology to estimate the expected intertemporal marginal rate of substitution or “EMRS”, using only data on asset prices and returns. Our empirical strategy is general, and allows the EMRS to vary arbitrarily over time. A novel feature of our technique is that it relies upon exploiting idiosyncratic risk, since theory dictates that idiosyncratic shock...

• Stock indexes have dual fractal structure which is consistent with previous studies. • The return distribution of emerging markets shows abnormal dual power-law exponents. • External shock of a crisis affects different markets at distinct stages. a b s t r a c t We investigate minute indexes of stock markets in 10 countries during financial crashes by dividing them into several stages accordi...

Financial markets can be seen as complex systems in non-equilibrium steady state, one of whose most important properties is the distribution of price fluctuations. Recently, there have been assertions that this distribution is qualitatively different in emerging markets as compared to developed markets. Here we analyse both high-frequency tick-by-tick as well as daily closing price data to show...

Foucault [Journal of Financial Markets, 2, 99–134, 1999] provides a theoretical basis for how stock price volatility influences the aggressiveness of limit order traders. I investigate volatility discovery across stock limit order book and options markets using a broad panel of NYSE‐listed stocks from November 2007 to January 2008 and find strong evidence that, as predicted, the aggressiveness ...

Stock data mining such as financial pairs mining is useful for trading supports and market surveillance. Financial pairs mining targets mining pair relationships between financial entities such as stocks and markets. This paper introduces a fuzzy genetic algorithm framework and strategies for discovering pair relationship in stock data such as in high dimensional trading data by considering use...

– To investigate the universal structure of interactions in financial dynamics, we analyze the cross-correlation matrix C of price returns of the Chinese stock market, in comparison with those of the American and Indian stock markets. As an important emerging market, the Chinese market exhibits much stronger correlations than the developed markets. In the Chinese market, the interactions betwee...

The study tries to explore the dynamics of comovement of stock markets of USA ,Brazil, Mexico, China and India during the period from January, 1996 to July, 2007 using daily closing price data. It attempts to analyze the speed of adjustment coefficients using daily, weekly and monthly data. It also tries to examine the efficiency of the stock market as a result of initiatives and regulatory mea...

We propose a simultaneous equation system with GARCHX errors to model the contemporaneous relations among Asian and American stock markets. We thus evaluate the correlation matrix over rolling windows and introduce a correlation matrix distance which allows a simple graphical analysis of contagion. The empirical analysis on Asian and American stock markets shows some evidences of contagion.

Significant prediction of asset prices is of a great importance in financial economics. When studying economic and financial phenomena, it is essential to correctly specify the model. If the true dynamics are nonlinear, using linear methods will probably be irrelevant in doing empirical analysis. Existence of nonlinearity in financial markets has been argued by numerous studies. The main object...