{"title":"释放算法前沿:引导算法交易对投资者投资组合的影响","authors":"Madhava Priya Dananjayan, Sridevi Gopakumar, Parthasarathi Narayanasamy","doi":"10.1177/20438869231189519","DOIUrl":null,"url":null,"abstract":"In the ever-evolving landscape of financial markets, algo trading has emerged as a powerful force, revolutionizing the way investors execute trades. With the speed and precision of computer algorithms, algo trading offers advantages such as faster trade execution, reduced errors, and access to complex trading strategies. However, its impact on investors is not without its challenges and risks. This case explores the profound influence of algo trading on investors and their portfolios. It delves into the opportunities and pitfalls associated with this technological advancement, shedding light on its implications for market liquidity, volatility, and investor behavior. It explores the potential for improved portfolio diversification and efficient risk management, while also addressing concerns about market manipulation and unfair advantages. Furthermore, the case study investigates the regulatory environment surrounding algo trading, highlighting the measures implemented to ensure fair and transparent markets. By presenting a nuanced understanding of the impact of algo trading on investor portfolios, this case study equips readers with the knowledge and insights necessary to navigate the algorithmic frontier. It encourages critical thinking and strategic decision-making, empowering investors to harness the potential of algo trading while managing its inherent risks.","PeriodicalId":37921,"journal":{"name":"Journal of Information Technology Teaching Cases","volume":"94 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unleashing the algorithmic frontier: Navigating the impact of algo trading on investor portfolios\",\"authors\":\"Madhava Priya Dananjayan, Sridevi Gopakumar, Parthasarathi Narayanasamy\",\"doi\":\"10.1177/20438869231189519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the ever-evolving landscape of financial markets, algo trading has emerged as a powerful force, revolutionizing the way investors execute trades. With the speed and precision of computer algorithms, algo trading offers advantages such as faster trade execution, reduced errors, and access to complex trading strategies. However, its impact on investors is not without its challenges and risks. This case explores the profound influence of algo trading on investors and their portfolios. It delves into the opportunities and pitfalls associated with this technological advancement, shedding light on its implications for market liquidity, volatility, and investor behavior. It explores the potential for improved portfolio diversification and efficient risk management, while also addressing concerns about market manipulation and unfair advantages. Furthermore, the case study investigates the regulatory environment surrounding algo trading, highlighting the measures implemented to ensure fair and transparent markets. By presenting a nuanced understanding of the impact of algo trading on investor portfolios, this case study equips readers with the knowledge and insights necessary to navigate the algorithmic frontier. It encourages critical thinking and strategic decision-making, empowering investors to harness the potential of algo trading while managing its inherent risks.\",\"PeriodicalId\":37921,\"journal\":{\"name\":\"Journal of Information Technology Teaching Cases\",\"volume\":\"94 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Technology Teaching Cases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/20438869231189519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Technology Teaching Cases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20438869231189519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Unleashing the algorithmic frontier: Navigating the impact of algo trading on investor portfolios
In the ever-evolving landscape of financial markets, algo trading has emerged as a powerful force, revolutionizing the way investors execute trades. With the speed and precision of computer algorithms, algo trading offers advantages such as faster trade execution, reduced errors, and access to complex trading strategies. However, its impact on investors is not without its challenges and risks. This case explores the profound influence of algo trading on investors and their portfolios. It delves into the opportunities and pitfalls associated with this technological advancement, shedding light on its implications for market liquidity, volatility, and investor behavior. It explores the potential for improved portfolio diversification and efficient risk management, while also addressing concerns about market manipulation and unfair advantages. Furthermore, the case study investigates the regulatory environment surrounding algo trading, highlighting the measures implemented to ensure fair and transparent markets. By presenting a nuanced understanding of the impact of algo trading on investor portfolios, this case study equips readers with the knowledge and insights necessary to navigate the algorithmic frontier. It encourages critical thinking and strategic decision-making, empowering investors to harness the potential of algo trading while managing its inherent risks.
期刊介绍:
The Journal of Information Technology Teaching Cases (JITTC) provides contemporary practical case materials for teaching topics in business and government about uses and effectiveness of technology, the organisation and management of information systems and the impacts and consequences of information technology. JITTC is designed to assist academics, scholars, and teachers in universities and other institutions of executive education, as well as instructors of organizational training courses. Case topics include but are not restricted to: alignment with the organization, innovative uses of technology, emerging technologies, the management of IT, including strategy, business models, change, infrastructure, organization, human resources, sourcing, system development and implementation, communications, technology developments, technology impacts and outcomes, technology futures, national policies and standards.