Financial Performance of Indian Post Offices (Paperback)

Rohit Kanda

ISBN 10: 6208064864 / ISBN 13: 9786208064860

Published by LAP Lambert Academic Publishing, 2024

About this Item

Paperback. This book addresses the objective to relook at the financial performance of India Post, in northwestern region context and as a national context. It will help to exclave out the financial trends of the organization in the gone passage of time and help relocate the loopholes in the finances of the organization. The objective looks to assess the financial performance of India Post in north-western region of India. This book is based on the partial results of wholesome study sanctioned by Department of Posts, Government of India.Tools of Data Analysis Included Ratios, CAGR, Descriptive, Correlations, Regression, Time Series and Trend Analysis (Flosbach, 2012; Rao, 2002; Gakure, & Gekara, 2015; Kereta, 2007; Scholtens, 2007; Hashi, 2001), and Panel Data (Kumbhakar, Lozano-Vivas, Lovell, & Hasan, 2001), as Applicable. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9786208064860

Bibliographic Details

• Title: Financial Performance of Indian Post Offices (Paperback)
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6208064864
• ISBN 13: 9786208064860
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book addresses the objective to relook at the financial performance of India Post, in northwestern region context and as a national context. It will help to exclave out the financial trends of the organization in the gone passage of time and help relocate the loopholes in the finances of the organization. The objective looks to assess the financial performance of India Post in north-western region of India. This book is based on the partial results of wholesome study sanctioned by Department of Posts, Government of India.Tools of Data Analysis Included Ratios, CAGR, Descriptive, Correlations, Regression, Time Series and Trend Analysis (Flosbach, 2012; Rao, 2002; Gakure, & Gekara, 2015; Kereta, 2007; Scholtens, 2007; Hashi, 2001), and Panel Data (Kumbhakar, Lozano-Vivas, Lovell, & Hasan, 2001), as Applicable.