Forecasting stock market returns by summing the frequency-decomposed parts
نویسندگان
چکیده
منابع مشابه
Demographics , Stock Market Flows , and Stock Returns ∗
This paper studies the link between population age structure, net outflows (dividends plus repurchases less net issues) from the stock market, and stock market returns in an overlapping generations framework. I find support for the traditional lifecycle models — the outflows from the stock market are positively correlated with the changes in the fraction of old people (65 and over) and negative...
متن کاملDo Global stock market cues matter in forecasting stock returns in developed and developing markets?
Financial markets all over the world have witnessed growing integration within as well as across boundaries, spurred by deregulation, globalization and advances in information technology. However, none of the researches have investigated the trading profitability of models that employed the financial market integration information as input variables especially in the case of day trading. Moreov...
متن کاملThe Determinants of US Stock Market Returns
In the literature there are many determinants for the times series of US stock returns. The most notable are: inflation, inflation uncertainty, and the relative change in the value of the US dollar. This paper aims to reconsider and update this research question. Monthly data sets are used with the S&P 500 as the measure of the stock market index, and the US trade-weighted foreign exchange rate...
متن کاملThe Structure of International Stock Market Returns
The behavior of international stock market returns in terms of rate of return, unconditional volatility, skewness, excess kurtosis, serial dependence and long-memory is examined. A factor analysis approach is employed to identify the underlying dimensions of stock market returns. In our approach, the factors are estimated not from the observed historical returns but from their empirical propert...
متن کاملThe use of data mining and neural networks for forecasting stock market returns
It has been widely accepted by many studies that non-linearity exists in the financial markets and that neural networks can be effectively used to uncover this relationship. Unfortunately, many of these studies fail to consider alternative forecasting techniques, the relevance of input variables, or the performance of the models when using different trading strategies. This paper introduces an ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Empirical Finance
سال: 2018
ISSN: 0927-5398
DOI: 10.1016/j.jempfin.2017.11.009