Stock Market Aptitude Examples - Explore various stock market aptitude examples to enhance your quantitative skills and prepare for competitive exams.
Jesse Felder
Product Market PowerTrading VolumeHeterogeneous BeliefsBased on the data of companies listed on A-share market during the year 2001 to 2009,this paper explores the relationship between product market power and trade volume in the view of heterogeneous beliefs.It's found that the improvement of ...
(C) provision for marking the contract to the market. (3) Nasdaq Regulation will furnish, upon written request therefor, an adequate description of any particular issue of securities and of the plan under which the securities are proposed to be issued for the purpose of inclusion in all contr...
< Stock Market Cycles A Practical Explanation (ISBN 1567203205)搜索 STOCK MARKETCYCLES:A Practical ExplanationSTEVEN E. BOLTENQUORUM BOOKS 阅读原文 下载APP
I have been using technical analysis and elliot wave over the last few years while trying to short the market. Unsuccessfully, I might add. After your explanation I am reconsidering my entire approach. Now that I think about it, it makes perfect sense. I will be implementing your turning ...
Thank you for getting back to me and explaining your forecast in a more detailed fashion. It makes a lot more sense now. I have been using technical analysis and elliot wave over the last few years while trying to short the market. Unsuccessfully, I might add. After your explanation I am...
Using the Fama and French (1993) and Carhart (1997) stock market factors, we examined whether a multivariate modeling stock factor-based approach is more effective than a simple univariate approach to forecast the market risk of a random weighted portfolio of stocks and a portfolio of FFC factor...
The behavior of the bond rate accounts for the evident split of the Danish stock market into a bearish period before the early 1980s and a subsequent bullish period. Likewise, a decline in the bond rate explains a major part of the large capital gains realized in recent years. 展开 ...
This study introduces an augmented Long-Short Term Memory (LSTM) neural network architecture, integrating Symbolic Genetic Programming (SGP), with the objective of forecasting cross-sectional price returns across a comprehensive dataset comprising 4500 listed stocks in the Chinese market over the period ...