scispace - formally typeset
Search or ask a question
Topic

Market capitalization

About: Market capitalization is a research topic. Over the lifetime, 3583 publications have been published within this topic receiving 77288 citations. The topic is also known as: market cap & market value.


Papers
More filters
Journal ArticleDOI
TL;DR: A novel framework, named deep transfer with related stock information (DTRSI), which takes advantage of a deep neural network and transfer learning to improve model performance and demonstrates remarkable performance in terms of prediction accuracy.
Abstract: Stock price prediction has always been an important application in time series predictions. Recently, deep neural networks have been employed extensively for financial time series tasks. The network typically requires a large amount of training samples to achieve high accuracy. However, in the stock market, the number of data points collected on a daily basis is limited in one year, which leads to insufficient training samples and accordingly results in an overfitting problem. Moreover, predicting stock price movement is affected by various factors in the stock market. Therefore, choosing appropriate input features for prediction models should be taken into account. To address these problems, this paper proposes a novel framework, named deep transfer with related stock information (DTRSI), which takes advantage of a deep neural network and transfer learning. First, a base model using long short-term memory (LSTM) cells is pre-trained based on a large amount of data, which are obtained from a number of different stocks, to optimize initial training parameters. Second, the base model is fine-tuned by using a small amount data from a target stock and different types of input features (constructed based on the relationship between stocks) in order to enhance performance. Experiments are conducted with data from top-five companies in the Korean market and the United States (US) market from 2012 to 2018 in terms of the highest market capitalization. Experimental results demonstrate the effectiveness of transfer learning and using stock relationship information in helping to improve model performance, and the proposed approach shows remarkable performance (compared to other baselines) in terms of prediction accuracy.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the authors find strong evidence that home bias affects firm valuation at both country and firm levels. And they show that the evidence is consistent with the optimal global risk-sharing hypothesis that the greater risk sharing between domestic and foreign investors in international capital markets reduces the cost of capital and hence enhances market valuation.
Abstract: This study finds strong evidence that home bias affects firm valuation at both country and firm levels. Results show that, at the country level, domestic investors increasing weights in countries that they have over-weighted produces a negative impact on market valuation, while foreign investors increasing weights in countries that they have underweighted leads to enhanced market valuation. At the firm level, firm value increases as domestic and foreign investors weight local firms toward the firms' global market capitalization weights, but decreases as their weights deviate from global weights. Overall, the evidence is consistent with the optimal global risk-sharing hypothesis that the greater risk sharing between domestic and foreign investors in international capital markets reduces the cost of capital and hence enhances market valuation.

42 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine the continuing search for evidence that good corporate governance leads to positive organizational outcomes, and present a unique perspective on this issue based on firm size and find evidence of better risk-adjusted performance across all recent sub-periods (three, five, and ten-year) for the firms in the smallest market capitalization category.
Abstract: Purpose – The purpose of this paper is to examine the continuing search for evidence that good corporate governance leads to positive organizational outcomes, and it presents a unique perspective on this issue based on firm size.Design/methodology/approach – The study utilized a comprehensive measure of governance as well as a risk‐adjusted measure of share price in its comparisons between companies known for good governance and broader markets composed of similar‐sized firms.Findings – The findings show evidence of better risk‐adjusted performance across all recent sub‐periods (three‐, five‐, and ten‐year) for the firms in the smallest market capitalization category. Better risk‐adjusted returns were earned for only the ten‐year period for the largest firms and the overall US market. Mid‐cap stocks were not significant in any of the three periods studied. The fact that the small cap stocks showed significance for all three sub‐periods indicates the relationship between good corporate governance practices...

42 citations

Posted ContentDOI
TL;DR: This paper examined the relation among average returns, market beta, firm size, and book-to-market value for Canadian stocks during 1975-92 and found no relation between average return and market beta.
Abstract: We examine the relation among average returns, market beta, firm size, and book-to-market value for Canadian stocks during 1975–92. We document a negative relation between average return and the market capitalization of firms, but find no relation between average return and market beta. While the small firm effect is significant during a period of reduced capital gains tax, it is noticeably lower than during the period leading up to the change. We find that average returns are positively related to book-to-market value especially during the period of lower capital gains tax.

42 citations

Journal Article
TL;DR: A recent paper as mentioned in this paper summarizes answers to these questions drawn from a recent research project. And if stock markets are good for growth, what policies can governments adopt to foster their development, and how does stock market development affect firms' financing decision?
Abstract: During the past decade the capitalization of emerging markets increased twentyfold. In 1994 trading on these markets accounted for about 17 percent of the $9.6 trillion of shares traded on the world's stock markets, up from a mere 3 percent of the much smaller $1.6 trillion in 1985. This rapid growth in emerging stock market activity raises critical questions for developing country policymakers. What effect do stock markets have on economic growth? How does stock market development affect firms' financing decision? And if stock markets are good for growth, what policies can governments adopt to foster their development? This note summarizes answers to these questions drawn from a recent research project.

42 citations


Network Information
Related Topics (5)
Volatility (finance)
38.2K papers, 979.1K citations
87% related
Stock market
44K papers, 1M citations
86% related
Interest rate
47K papers, 1M citations
85% related
Corporate social responsibility
45.5K papers, 1M citations
82% related
Entrepreneurship
71.7K papers, 1.7M citations
82% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023151
2022279
2021154
2020187
2019196
2018186