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  • Search: person:"Desai, Kinjal Jay"
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Year of publication
Subject
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Aktienmarkt 3 Stock market 3 India 2 Indien 2 Aktienindex 1 Anlageverhalten 1 Artificial intelligence 1 Behavioural finance 1 Börsenkurs 1 Estimation 1 Financial analysis 1 Financial investment 1 Finanzanalyse 1 Forecasting model 1 Kapitalanlage 1 Künstliche Intelligenz 1 Portfolio selection 1 Portfolio-Management 1 Prognoseverfahren 1 Schätzung 1 Share price 1 Stock index 1
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Online availability
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Free 4
Type of publication
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Book / Working Paper 4
Language
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English 4
Author
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Desai, Dr.Jay 4 Desai, Kinjal Jay 4 Dave, Dr. Ashvin Ramchandra 3 Modi, Dr. Ashwin G. 2 Joshi, Nisarg A 1 Juneja, Aashish 1 Vachhrajani, Hardik 1
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Source
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ECONIS (ZBW) 4
Showing 1 - 4 of 4
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The 'Monsoon Effect' in Indian Equity Market
Vachhrajani, Hardik - 2014
Seasonal variation and calendar anomalies are known phenomena in equity markets worldwide. Many researchers have studied day-of-the-month, day-of-the-week, month-of-the-year, tax loss hypothesis and SAD cycle in equity markets across countries. There has been many evidences of calendar anomalies...
Persistent link: https://www.econbiz.de/10013045186
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Decoding Black Swan : A Quantitative Approach to Tactical Stock Investing
Desai, Dr.Jay - 2012
In this paper we examine unanticipated outliers of stock market. Weather these outliers are truly Black Swans that can not be anticipated or they are avoidable? Also we try to evolve a quantitative strategy to earn superior returns. The simple strategy not only removes outliers from portfolio...
Persistent link: https://www.econbiz.de/10013113322
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Finding the Identical Twin
Modi, Dr. Ashwin G. - 2012
In this paper we examine correlation and mean reverting behavior of Dow Jones Industrial Average, with ten stock markets from Asia, Europe and America. Along with correlation test, Augmented Dickey Fuller Test is conducted to test the mean reverting behavior of time series. We found that all the...
Persistent link: https://www.econbiz.de/10013113108
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Forecasting of Indian Stock Market Index S&P CNX Nifty 50 Using Artificial Intelligence
Desai, Dr.Jay - 2011
This paper presents a computational approach for predicting the S&P CNX Nifty 50 Index. A neural network based model has been used in predicting the direction of the movement of the closing value trend of the index by predicting the seven day simple moving average value change after seven days....
Persistent link: https://www.econbiz.de/10013125158
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