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Financial analytics / Pitabas Mohanty.

By: Language: English Series: Wiley analytics series for managementPublication details: New Delhi : Wiley, 2023.ISBN:
  • 9789354644177
Subject(s): Summary: Financial Analytics explores the use of data analysis, statistical techniques, and computational methods to support financial decision-making. The book explains how financial data can be collected, processed, modeled, and interpreted to analyze investments, risks, markets, and business performance. It covers topics such as financial modeling, predictive analytics, risk assessment, portfolio analysis, forecasting, and data-driven decision-making. The book demonstrates how tools such as statistical methods, programming, and analytics platforms can be applied to solve real-world financial problems.
Item type: Print List(s) this item appears in: Global Library New Arrivals July 2026
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Print OPJGU Sonepat- Campus Course Reserve Main Library 332.0285 MO-F (Browse shelf(Opens below)) Available (Restricted Access) 159721
Print OPJGU Sonepat- Campus Textbooks Main Library 332.0285 MO-F (Browse shelf(Opens below)) Available 159722
Print OPJGU Sonepat- Campus Textbooks Main Library 332.0285 MO-F (Browse shelf(Opens below)) Available 159723
Print OPJGU Sonepat- Campus Textbooks Main Library 332.0285 MO-F (Browse shelf(Opens below)) Available 159724

Financial Analytics explores the use of data analysis, statistical techniques, and computational methods to support financial decision-making. The book explains how financial data can be collected, processed, modeled, and interpreted to analyze investments, risks, markets, and business performance. It covers topics such as financial modeling, predictive analytics, risk assessment, portfolio analysis, forecasting, and data-driven decision-making. The book demonstrates how tools such as statistical methods, programming, and analytics platforms can be applied to solve real-world financial problems.

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