This paper explores the long-standing empirical fact of increased trading volume around news releases through the lens of canonical models of gradual information diffusion and differences of opinion. I use a unique dataset of clicks on news by key finance professionals to distinguish between trading among investors who see the news at different times and trading among investors who see the same...

This paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns. For both stock indexes and individual large stocks, the first-order daily return autocorrelation tends to decline with volume. The paper explains this phenomenon using a model in which risk-averse "market makers" accommodate buying or selling pressure from "l...

The investor's asset allocation choice deeply depends on the trade-off between risk and return. The well-known mean variance method requires predetermined risk and expected return to calculate optimal investment weights of portfolio. The artificial neural network (ANN) with nonlinear capability is proven to solve large-scale complex problem effectively. However, the traditional ANN model cannot...

Managing tracking error on an ex ante basis requires an ability to assess the possible effects of trades on a fund’s performance relative to its benchmark. Given a trading strategy, its potential for reducing tracking error must be balanced against trading costs and return expectations. This chapter presents several simple diagnostic tools to help fund managers evaluate alternative trading stra...

The primary objective of this study is to measure the relationship between stock returns, trading volume, frequency and price volatility Everest Bank Limited. We analyzed studies using descriptive randomized comparative studies. A 12-year panel data set was used. 1873 observations are draw correct conclusions about study. Descriptive models provide on average volatility. EBL investors have face...

Market expectations of future return volatility play a crucial role in nance; so too does our understanding of the process by which information is incorporated in security prices through the trading process. This paper seeks to learn something about both of these issues by investigating empirically the role of trading volume (a) in predicting the relative informativeness of volatility forecasts...

In the present work we address the problem of evaluating the historical performance of a trading strategy or a certain portfolio of assets. Common indicators such as the Sharpe ratio and the risk adjusted return have significant drawbacks. In particular, they are global indices, that is they do not preserve any local information about the performance dynamics either in time or for a particular ...

It has been widely debated how much nonsynchronous trading drives asymmetric portfolio cross-autocorrelations: lagged returns on a portfolio of larger-capitalization stocks are far more heavily correlated with current returns on a portfolio of smallercapitalization stocks than the converse. This paper proposes a new method to generate precise estimates of the extent to which nonsynchronous trad...