P. Karthikeyan Libri

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.

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.

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.

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.

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.

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.

Focusing on the relationship between exchange rate volatility and trade, this study analyzes its impact on U.S. exports and imports from 1995 to 2015, particularly with countries such as Britain, Canada, and China. Utilizing various statistical methods, including unit root tests and regression models, the findings reveal that exchange rates significantly influence U.S. trade, affecting exports to most countries except South Korea and impacting imports from all except South Korea and Japan. The book provides valuable insights into international economic competitiveness.

Diatoms are a large and diverse group of single-celled algae. Diatom-based indices are increasingly becoming important tools for assessment of environmental conditions in aquatic systems. Diatoms have long been lauded for their use as powerful and reliable environmental indicators. Diatoms are widely used as assessment tools in the understating / interpretation and management of environments. This guide has been compiled for those who wish to beginner of a study of the diatom taxa of India. It is hoped that this guide may also serve as a valuable aid-memoir for those diatomists involved in inferring a Beginner's guide to diatoms: collection, preparation and identification of diatom. In this manual is intended for those who wish to become familiar with the methods of collecting diatom samples in a meaningful and repeatable approach, whether the outputs from these samples will be used for taxonomy or biodiversity studies or to infer water quality. The application of diatom-based water quality monitoring has become a reality with the recent development of expertise in the fields of diatom taxonomy and ecology in India.

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.

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.