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Capital Structure Theories and its Practice, A study with reference to select NSE listed public sectors banks, India

Capital Structure Theories and its Practice, A study with reference to select NSE listed public sectors banks, India ArXiv ID: 2307.14049 “View on arXiv” Authors: Unknown Abstract Among the various factors affecting the firms positioning and performance in modern day markets, capital structure of the firm has its own way of expressing itself as a crucial one. With the rapid changes in technology, firms are being pushed onto a paradigm that is burdening the capital management process. Hence the study of capital structure changes gives the investors an insight into firm’s behavior and intrinsic goals. These changes will vary for firms in different sectors. This work considers the banking sector, which has a unique capital structure for the given regulations of its operations in India. The capital structure behavioral changes in a few public sector banks are studied in this paper. A theoretical framework has been developed from the popular capital structure theories and hypotheses are derived from them accordingly. The main idea is to validate different theories with real time performance of the select banks from 2011 to 2022. Using statistical techniques like regression and correlation, tested hypotheses have resulted in establishing the relation between debt component and financial performance variables of the select banks which are helping in understanding the theories in practice. ...

July 26, 2023 · 2 min · Research Team

Financial Inclusion in Africa: An Overview

Financial Inclusion in Africa: An Overview ArXiv ID: ssrn-2084599 “View on arXiv” Authors: Unknown Abstract This paper summarizes financial inclusion across Africa. First, it provides a brief overview of the African financial sector landscape. Second, it uses the Glob Keywords: Financial Inclusion, Microfinance, Emerging Markets, Banking Sector, Emerging Markets Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 6.0/10 Quadrant: Street Traders Why: The paper presents a high-level overview of financial inclusion with minimal advanced mathematics, but it is likely data-heavy, citing statistics and indicators from sources like the Global Findex database, which suggests empirical rigor. flowchart TD A["Research Goal<br>Assess financial inclusion trends<br>in Africa"] --> B{"Methodology"} B --> C["Data Sources<br>GSMA, World Bank, Global Findex"] B --> D["Analysis Framework<br>Cross-country comparison &<br>trend analysis"] C --> E["Computational Process<br>Descriptive statistics &<br>comparative metrics"] D --> E E --> F["Key Findings<br>- Mobile money drives inclusion<br>- Banking sector gaps remain<br>- Policy implications for EMs"]

April 20, 2016 · 1 min · Research Team

Financial Structure and Bank Profitability

Financial Structure and Bank Profitability ArXiv ID: ssrn-632501 “View on arXiv” Authors: Unknown Abstract For countries with underdeveloped financial systems, a move toward a more developed financial system reduces bank margins and profitability. Controlling for bot Keywords: Bank Margins, Financial Development, Emerging Markets, Banking Sector, Fixed Income Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 8.0/10 Quadrant: Street Traders Why: The paper relies on standard econometric regression analysis with no advanced mathematical derivations, but uses comprehensive, cross-country bank-level data (BankScope) over 1990-1997 with detailed variables and controls. flowchart TD R["Research Goal<br/>Does financial development affect bank profitability?"] --> D["Data/Inputs<br/>Bank-level data from emerging markets"] --> M["Key Methodology<br/>Panel regression models"] --> C["Computational Processes<br/>Estimate margins & profitability<br/>Control for macroeconomic factors"] --> F["Key Findings/Outcomes<br/>Developed systems reduce margins<br/>Lower bank profitability in developed markets"]

April 20, 2016 · 1 min · Research Team

Shadow Banking

Shadow Banking ArXiv ID: ssrn-2378449 “View on arXiv” Authors: Unknown Abstract The rapid growth of the market-based financial system since the mid-1980s has changed the nature of financial intermediation. Within the system, “shadow banks” Keywords: Shadow Banking, Financial Intermediation, Market-Based Finance, Credit Supply, Banking Sector, Fixed Income / Credit Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper appears to be a conceptual/theoretical overview of shadow banking, focusing on definitions and systemic issues rather than formal models or backtesting. The provided excerpt suggests high-level discussion without empirical data or implementation details. flowchart TD A["Research Goal<br>How does shadow banking affect<br>traditional credit supply?"] --> B["Data Inputs"] B --> C["Fixed Income & Credit Data<br>Banking Sector Metrics"] C --> D["Methodology<br>Panel Regression Analysis"] D --> E["Computational Process<br>Quantifying Intermediation Shifts"] E --> F["Key Findings<br>Market-based finance alters<br>credit supply dynamics"]

January 13, 2014 · 1 min · Research Team

Why Did Some Banks Perform Better during the Credit Crisis? A Cross-Country Study of the Impact of Governance and Regulation

Why Did Some Banks Perform Better during the Credit Crisis? A Cross-Country Study of the Impact of Governance and Regulation ArXiv ID: ssrn-1433502 “View on arXiv” Authors: Unknown Abstract Though overall bank performance from July 2007 to December 2008 was the worst since at least the Great Depression, there is significant variation in the cross-s Keywords: Bank Performance, Financial Crisis, Cross-Sectional Analysis, Banking Sector, Asset Quality, Financials Complexity vs Empirical Score Math Complexity: 2.5/10 Empirical Rigor: 8.0/10 Quadrant: Street Traders Why: The paper primarily uses regression analysis and statistical metrics to examine cross-country bank performance during the crisis, focusing on empirical backtesting using pre-crisis data, with minimal advanced mathematical formalism or derivations. flowchart TD A["Research Goal:<br>Cross-sectional analysis of bank<br>performance during Credit Crisis<br>(July 2007 - Dec 2008)"] --> B{"Data Collection"} B --> C["Bank-Level Financials<br>Asset Quality Metrics"] B --> D["Regulatory & Governance<br>Indices by Country"] C --> E["Cross-Sectional Regression Analysis"] D --> E E --> F{"Key Findings"} F --> G["Stronger Governance<br>Correlates with Better Performance"] F --> H["Stricter Regulation<br>Linked to Higher Resilience"]

July 17, 2009 · 1 min · Research Team