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P. Karthikeyan

    Performance of the Banks based on CAMEL Model and EVA Analysis
    Stock Market Price Prediction Using Technical Analysis and ANN Model
    Equity, Debt and Balanced Mutual Fund Schemes in India: An Analysis
    Performance ausgewählter sektoraler Investmentfonds in Indien
    Risiko-Rendite-Verhältnis und Performance von Agrarrohstoffen in Indien
    Vorhersage von Börsenkursen mittels technischer Analyse und ANN-Modell
    • 2024

      Die Untersuchung fokussiert sich auf die Performance ausgewählter Agrarrohstoffe wie Kurkuma, Koriander, Gerste, Jeera und Sojabohnen an der National Commodity and Derivative Exchange of India zwischen 2010 und 2015. Ziel ist es, das Verhältnis zwischen Risiko und Rendite dieser Rohstoffe zu analysieren und Investoren bei der Entscheidungsfindung zu unterstützen. Durch technische und deskriptive statistische Analysen sowie eine Bewertung der Wachstumsleistung soll das tägliche Verhalten des Rohstoffmarktes besser vorhergesagt werden, um Risiken und Schwankungen zu minimieren.

      Risiko-Rendite-Verhältnis und Performance von Agrarrohstoffen in Indien
    • 2024

      A bolsa de valores e os mercados de mercadorias são cruciais para o desenvolvimento econômico. Este projeto analisa o desempenho de mercadorias agrícolas na NCDEX, entre 2010-11 e 2014-15, visando ajudar investidores a prever comportamentos de mercado e tomar decisões mais informadas, considerando riscos e flutuações.

      Relação risco/retorno e desempenho dos produtos agrícolas de base na Índia
    • 2024

      Investmentfonds bieten kosteneffiziente Anlagemöglichkeiten mit hoher Diversifizierung, die das Risiko minimieren und die Rendite maximieren. Die indische Fondsbranche wächst schnell, was sich in der Zunahme verwalteter Vermögenswerte zeigt. Die Studie analysiert die Beziehung zwischen Fondsströmen und Aktienmarktrenditen in Indien sowie die Performance ausgewählter Fonds.

      Performance ausgewählter sektoraler Investmentfonds in Indien
    • 2022

      Die Analyse konzentriert sich auf die Vorhersage der Aktienkurse von Nifty Fifty-Unternehmen durch technische Analyse und ein künstliches neuronales Netzwerk. Die Unternehmen werden sektorenweise gruppiert, und der Untersuchungszeitraum erstreckt sich von Januar bis Dezember 2017. Mithilfe von deskriptiven Statistiken und verschiedenen Analyseverfahren, wie gleitenden Durchschnitten und dem Relative-Stärke-Index, werden Preistrends und Volatilität ermittelt. Die Ergebnisse werden sektorspezifisch interpretiert, um Unternehmen mit höheren Renditen zu identifizieren und präzise Kursprognosen zu erstellen.

      Vorhersage von Börsenkursen mittels technischer Analyse und ANN-Modell
    • 2019

      Focusing on stock price prediction, this book explores methods using Technical Analysis and Artificial Neural Networks (ANN) for the Nifty Fifty companies. It categorizes companies by sector and analyzes data from January to December 2017. Key statistical measures such as mean, median, and volatility are employed, along with Moving Averages and Relative Strength Index to guide investment decisions. The study interprets results sector-wise, highlighting a company from each sector with the highest returns, while attempting to enhance predictions through ANN modeling.

      Stock Market Price Prediction Using Technical Analysis and ANN Model
    • 2018

      Focusing on the performance analysis of selected Indian banks over five years, this book utilizes the CAMEL approach and Economic Value Added (EVA) to assess banking performance and shareholder wealth. It examines the top five private and public sector banks in India, relying on data from annual reports. The study highlights the importance of various financial ratios for analyzing CAMEL and EVA parameters, while also suggesting strategies for banks to formulate their future direction based on the findings.

      Performance of the Banks based on CAMEL Model and EVA Analysis
    • 2017

      Focusing on the performance of selected agricultural commodities, this study analyzes Turmeric, Coriander, Barley, Jeera, and Soya bean traded on the NCDEX from 2010-11 to 2014-15. It aims to uncover the risk-return relationship of these commodities, providing insights for investors navigating the challenges of market fluctuations. By employing technical analysis, descriptive statistics, and growth performance evaluation, the research seeks to empower investors with informed decision-making tools to optimize their investment strategies in the Indian commodity market.

      Risk Return Relationship and Performance Of Agri Commodities In India
    • 2017

      Focusing on the advantages of mutual funds, the book highlights their cost efficiency and ease of investment through pooled resources, which allows for lower trading costs. It emphasizes diversification as a key benefit, reducing risk while enhancing potential returns, particularly appealing to risk-averse investors. The rapid growth of the Indian mutual fund industry is noted, alongside the increasing assets under management. The study aims to analyze the relationship between mutual fund investment flow and stock market returns in India, while also predicting the performance of selected sector mutual funds.

      Performance of Selected Sectoral Mutual Fund Schemes in India
    • 2016

      The book evaluates the performance of 34 mutual fund schemes from six asset management companies over three years, focusing on the risk-return relationship. Using various performance metrics like the Sharpe and Treynor indices, it reveals that HDFC mutual fund schemes excel, while Birla Sunlife and Sundaram schemes lag behind. The analysis indicates that equity schemes lack diversification and generally align with market movements. Overall, most schemes meet investor expectations, highlighting their effectiveness in managing risk and return.

      Equity, Debt and Balanced Mutual Fund Schemes in India: An Analysis
    • 2016

      Focusing on the analysis of Initial Public Offerings (IPOs) in the Indian Capital market, this book examines trends and performance from April 1998 to March 2008. It highlights how investors benefit from price differences over the years and assesses IPO performance using financial variables. The structured thesis is divided into five chapters, covering the study's design, literature review, an overview of IPOs, detailed analysis, and final conclusions, making it accessible for readers seeking to understand IPO dynamics.

      Post operative Performance of IPOs in the Indian Capital Market