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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
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Journal ArticleDOI
TL;DR: It is found that the buy-side firm’s analysts issue less optimistic recommendations for stocks with larger market capitalizations and lower return volatility than their sell-side peers, consistent with their facing fewer conflicts of interest and having a preference for liquid stocks.
Abstract: Prior research on equity analysts focuses almost exclusively on those employed by sell-side investment banks and brokerage houses. Yet investment firms undertake their own buy-side research and their analysts face different stock selection and recommendation incentives than their sell-side peers. We examine the selection and performance of stocks recommended by analysts at a large investment firm relative to those of sell-side analysts from mid-1997 to 2004. We find that the buy-side firm’s analysts issue less optimistic recommendations for stocks with larger market capitalizations and lower return volatility than their sell-side peers, consistent with their facing fewer conflicts of interest and having a preference for liquid stocks. Tests with no controls for these effects indicate that annualized buy-side Strong Buy/Buy recommendations underperform those for sell-side peers by 5.9% using market-adjusted returns and by 3.8% using four-factor model abnormal returns. However, these findings are driven by differences in the stocks recommended and their market capitalization. After controlling for these selection effects, we find no difference in the performance of the buy- and sell-side analysts’ Strong Buy/Buy recommendations.

45 citations

Journal ArticleDOI
TL;DR: In this paper, a mathematical model was developed to compare non-fraud and fraud companies selected from among small market capitalization companies in Malaysia; the fraud companies had already been charged by the Securities Commission for falsification of financial statements.
Abstract: Purpose This paper aims to explore the effectiveness of an artificial neural network (ANN) in predicting fraudulent financial reporting in small market capitalization companies in Malaysia. Design/methodology/approach Based on the concepts of ANN, a mathematical model was developed to compare non-fraud and fraud companies selected from among small market capitalization companies in Malaysia; the fraud companies had already been charged by the Securities Commission for falsification of financial statements. Ten financial ratios are used as fraud risk indicators to predict fraudulent financial reporting using ANN. Findings The findings indicate that the proposed ANN methodology outperforms other statistical techniques widely used for predicting fraudulent financial reporting. Originality/value The study is one of few to adopt the ANN approach for the prediction of financial reporting fraud.

45 citations

Journal ArticleDOI
TL;DR: In this paper, the authors estimate the demand for AI specialists across occupations, sectors, and firms, and find that firms with larger market capitalization, higher cash holdings, and higher investments in R&D have a higher need for AI experts.

45 citations

Book
01 Jan 1964
TL;DR: A stock market is a network of economic transactions in which shares and derivatives of companies are issued and traded at an agreed price as mentioned in this paper, and such transactions take place either through stock exchanges or over-the-counter negotiations.
Abstract: Stock markets – or equity markets – are networks of economic transactions, in which shares and derivatives of companies are issued and traded at an agreed price. Such transactions take place either through stock exchanges or over-the-counter negotiations. In the former case, stocks are listed and traded on stock exchanges. In the latter case, trading is done directly between the parties, without supervision of a stock exchange. Market participants range from small individual retail investors to large organizations, such as mutual funds, banks, hedge funds, insurance companies, as well as corporations trading their own shares. Trades in stock markets occur without restrictions of geographic locality.

45 citations

Journal ArticleDOI
TL;DR: The authors used a nonparametric panel data model to estimate the financial system-economic growth relationship and found that as long as a country's domestic credit and private credit are above their cross-sectional mean, they have a positive effect on GDP growth.

45 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023151
2022279
2021154
2020187
2019196
2018186