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Advanced Search Results For "STOCKS (Finance)"

1 - 10 of 521,498 results for
 "STOCKS (Finance)"
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Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies.

Publication Type:Academic Journal

Source(s):Complexity. 6/2/2022, p1-14. 14p.

Abstract:The U.S. stock market is one of the largest and most complex marketplaces in the global financial system. Over the past several decades, this market has evolved at multiple structural and temporal scales. New exchanges became active, and others stopped...

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When Shareholders Disagree: Trading after Shareholder Meetings.

Publication Type:Academic Journal

Source(s):Review of Financial Studies. Apr2022, Vol. 35 Issue 4, p1813-1867. 55p.

Abstract:This paper analyzes how trading after shareholder meetings changes the composition of the shareholder base. Analyzing daily trades, we find that mutual funds reduce their holdings if their votes are opposed to the voting outcome. Trading volume is high...

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Construction and Analysis of Corporate Social Responsibility Report and Equity Capital Cost Algorithm Model Based on Intelligent Computing.

Publication Type:Academic Journal

Source(s):Security & Communication Networks. 6/23/2022, p1-11. 11p.

Abstract:In order to study the corporate social responsibility report and equity capital cost algorithm based on Intelligent Computing, this paper explores the relationship between social responsibility reports and the cost of equity capital based on the data o...

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The Role of Predictive Analytics in Knowing the Future Prices of Listed Stocks in The Market.

Publication Type:Academic Journal

Source(s):Journal of Economic Administrative & Legal Sciences. Apr2022, Vol. 6 Issue 12, p171-183. 13p.

Abstract:هدفت هذه الدراسة إلى التعرف على دور التحليلات التنبؤية في معرفة أسعار الأسهم المستقبلية المدرجة في السوق ، حيث استخدم الباحث المنهج الوصفي التحليلي ، وبلغت عينة الدراسة (13) صناعية الشركات المدرجة في البورصة. خرجت الدراسة بالنتائج 1. تلعب النسب المالية...

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Stock Trading Strategies Based on Deep Reinforcement Learning.

Publication Type:Academic Journal

Source(s):Scientific Programming. 3/1/2022, p1-15. 15p.

Abstract:The purpose of stock market investment is to obtain more profits. In recent years, an increasing number of researchers have tried to implement stock trading based on machine learning. Facing the complex stock market, how to obtain effective information...

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Risk Adapting Stock Trading System Associated Technical with Macroeconomic Indicators.

Publication Type:Academic Journal

Source(s):Mobile Information Systems. 5/9/2022, p1-10. 10p.

Abstract:Machine learning has emerged as a powerful tool in studying the behavior of stock movement. However, it has yet to be highly accurate due to market randomness. This article aims to improve stock movement classification accuracy by addressing macroecono...

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Effect of the Shenzhen-Hong Kong stock connect mechanism on stock market volatility.

Publication Type:Academic Journal

Source(s):Scientia Iranica. Transaction E, Industrial Engineering. Jan/Feb2022, Vol. 29 Issue 1, p372-386. 15p.

Abstract:The Shenzhen-Hong Kong Stock Connect (SHSC) mechanism has created the largest two-way opening of the China capital market, but it has also increased risk transmission. To analyze the impact of SHSC on the volatility of a single market in Shenzhen or Ho...

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賭博偏好、交易型態與樂透股超額報酬共變的關聯性.

Publication Type:Academic Journal

Source(s):NTU Management Review. Dec2021, Vol. 31 Issue 3, p85-159. 75p.

Abstract:本文探討臺灣股市法人與散戶交易是否造成樂透股超額報酬共變,以日內逐筆委託衡 量交易型態,包含委託比率、急單比率與買賣超共變,對於「散戶是造成樂透股超額 報酬共變主要來源」提供直接證據。我們發現: (1) 散戶交易集中在樂透股,不僅 交易頻繁、下單積極,會對不同樂透股一起買賣超,當散戶對樂透股買賣超共變增加, 樂透股超額報酬共變會提高。 (2) 有些法人也會交易樂透股,但下單比率低,而且 法人交易會減弱樂透股超額報酬共變。 (3) 當整體市場投機氛圍提高 (如市場情緒 高漲、不關注樂透、農曆新年期間、...

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How Are Institutions Informed? Proactive Trading, Information Flows, and Stock Selection Strategies*.

Publication Type:Academic Journal

Source(s):Contemporary Accounting Research. Sep2021, Vol. 38 Issue 3, p1849-1887. 39p.

Abstract:RÉSUMÉ: Comment les institutions s'informent‐elles? Négociation proactive, flux d'information et stratégies de sélection des titres À partir de la relation entre les opérations boursières institutionnelles et l'information publiée de manière séquentiel...

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Incorporating Transformers and Attention Networks for Stock Movement Prediction.

Publication Type:Academic Journal

Source(s):Complexity. 2/27/2022, p1-10. 10p.

Abstract:Predicting stock movements is a valuable research field that can help investors earn more profits. As with time-series data, the stock market is time-dependent and the value of historical information may decrease over time. Accurate prediction can be a...

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