Ozatac / Gökmenoglu Emerging Trends in Banking and Finance

3rd International Conference on Banking and Finance Perspectives
1. Auflage 2018
ISBN: 978-3-030-01784-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 280 Seiten

Reihe: Springer Proceedings in Business and Economics

This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 3rd International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors, especially  in light of the global economic challenges triggered by financial institutions. Using the latest theoretical models, new perspectives are brought to topics such as e-finance and e-banking, Islamic banking, capital flight, bank efficiency, risk assessment, bankruptcy, investment diversification, and insider trading. Offering an opportunity to explore the challenges of a rapidly changing industry, this volume will be of interest to academics, policy makers, and scholars in the fields of banking, insurance, and finance.

Autoren/Hrsg.

Ozatac, Nesrin

Gökmenoglu, Korhan K.

Inhaltsverzeichnis

1;Contents;5
2;The Determinants of Nonperforming Loans: The Case of Turkey;7
2.1;1 Introduction;7
2.2;2 Literature Review;9
2.3;3 Data, Model Specification and Methodology;11
2.3.1;3.1 Methodology;11
2.3.2;3.2 Unit Root Tests;12
2.3.3;3.3 Co-integration Test;12
2.3.4;3.4 Vector Error Correction Model (VECM);13
2.3.5;3.5 Granger Causality Test;13
2.4;4 Empirical Results;14
2.4.1;4.1 Unit Root Test;14
2.4.2;4.2 Co-integration Test;14
2.4.3;4.3 Vector Error Correction Model Results;14
2.4.4;4.4 Granger Causality;17
2.5;5 Conclusion and Policy Implications;18
2.6;References;19
3;Determinants of External Debt: The Case of Malaysia;22
3.1;1 Introduction;22
3.2;2 Literature Review;25
3.3;3 Model and Data;26
3.4;4 Methodology and Empirical Findings;28
3.4.1;4.1 Descriptive Statistics;28
3.4.2;4.2 Unit Root and Stationary Test Results;28
3.4.3;4.3 Cointegration Results;30
3.4.4;4.4 Vector Error Correction Model Results;32
3.4.5;4.5 Granger Causality Test Results;33
3.5;5 Conclusion;34
3.6;References;34
4;Asset Allocation, Capital Structure, Theory of the Firm and Banking Performance: A Panel Analysis;40
4.1;1 Introduction;40
4.2;2 Literature Review;43
4.3;3 The Suggested Model;48
4.3.1;3.1 Variables Used;48
4.3.2;3.2 Objective Function;49
4.3.3;3.3 Constraints;49
4.3.3.1;3.3.1 Definitional Constraints;50
4.3.3.2;3.3.2 Legal Reserve Ratio Constraint;50
4.3.3.3;3.3.3 Legal Liquidity Ratio Constraint;50
4.3.3.4;3.3.4 Capital Adequacy Constraints;50
4.3.3.5;3.3.5 Maximum Lending Constraint;50
4.3.4;3.4 Algorithm;50
4.3.4.1;3.4.1 Determining W5* and W8*;50
4.3.4.2;3.4.2 Determining W11*;51
4.3.4.3;3.4.3 Determining W1*, W2*, W3*, W4*, W6* and W7*;51
4.3.5;3.5 Optimality Index of Bank Financial Structure;51
4.3.5.1;3.5.1 Calculating Optimality of Assets (OA);51
4.3.5.2;3.5.2 Calculating Optimality of Liabilities (OL);52
4.3.5.3;3.5.3 Calculating Optimality Index (OI);52
4.4;4 Testing Hypotheses;52
4.5;5 Summary and Concluded Remarks;54
4.6;References;54
5;Does Research and Development Expenditure Impact High-Technology Export in Turkey: Evidence from ARDL Model;58
5.1;1 Introduction;58
5.2;2 Literature Review;60
5.3;3 Data and Methodology;61
5.3.1;3.1 Data;61
5.3.2;3.2 Methodology;62
5.4;4 Empirical Results;63
5.5;5 Conclusion;66
5.6;References;67
6;The Cyclicality of Allowance for Impairment Losses in Indonesia;68
6.1;1 Introduction;68
6.2;2 Literatures Review;69
6.2.1;2.1 Procyclicality of Loan Loss Provisioning;69
6.2.2;2.2 Accounting Standards that Support Expected Credit Loss Provisioning;70
6.2.3;2.3 Loan Loss Provisioning in Indonesia;71
6.3;3 Data and Methodology;73
6.3.1;3.1 Methodology;73
6.3.2;3.2 Data;74
6.4;4 Estimations Results;76
6.4.1;4.1 Estimation Result for Generalized Least Squares (GLS) Estimator;76
6.4.2;4.2 Estimation Result for Generalized Method of Moments (GMM) Estimator;77
6.5;5 Conclusion and Policy Recommendation;83
6.6;References;83
7;Evalution of FDI in CE, SEE and Kosovo in Relation to Growth Rates and Other Indicators;85
7.1;1 Introduction;85
7.2;2 The Role of FDI in Economic Growth Discussions and Empirical Debates;87
7.2.1;2.1 Relations with Economic Growth, FDI and Domestic Investment;88
7.3;3 Study Methodology;89
7.4;4 Theoretical and Empirical Model;90
7.5;5 Results of the Study;92
7.5.1;5.1 The Final Results at the Rate of GDP per capita—Dependent;95
7.5.2;5.2 Solution of the Second Hypothesis Dependent FDI;97
7.5.3;5.3 Unilateral Effect of FDI and Economic Growth;99
7.6;6 Conclusion and Recommendations;99
7.7;Appendix;101
7.8;References;118
8;Forecasting Economic Activity of East Asia Through the Yield Curve (Predicting East Asia’s Economic Growth and Recession);121
8.1;1 Introduction;121
8.1.1;1.1 Background;122
8.2;2 Literature Review;123
8.2.1;2.1 Study Area;124
8.3;3 Methodology;124
8.3.1;3.1 Model Specifications;124
8.3.2;3.2 Further Specifications;125
8.3.3;3.3 Data Collection and Analysis;126
8.4;4 Forecasting Results;127
8.4.1;4.1 Descriptive Statistics;127
8.4.2;4.2 Time Series Properties of Data;128
8.4.3;4.3 Future GDP Growth Trend Predicted by the Term Spread;131
8.4.4;4.4 Ordinary Least Square Estimation Results Using Optimum Lag Length Selection;133
8.5;5 Conclusion Remarks and Future Research;133
8.6;Appendix;134
8.7;References;137
9;Risk Information of Stock Market Using Quantum Potential Constraints;138
9.1;1 Introduction;138
9.2;2 A Review on Quantum Potentials;139
9.3;3 Data Description and Analysis;139
9.4;4 Application of the Quantum Potential Method to the Financial Markets;140
9.5;5 Conclusions;143
9.6;References;144
10;Migration Influence on Human Capital Under Globalization;145
10.1;1 Introduction;145
10.1.1;1.1 The Degree of Scientific Development of the Issue;145
10.1.2;1.2 The Aim of the Article;145
10.1.3;1.3 Statement of Basic Materials;146
10.2;2 Relevant Studies;146
10.3;References;160
11;Destination Marketing and Tourism Entrepreneurship in Ghana;161
11.1;1 Introduction;161
11.2;2 Visitors’ Attraction;162
11.3;3 Future Direction of Tourism;163
11.3.1;3.1 Entrepreneurship;164
11.3.2;3.2 Digital Word of Mouth;164
11.4;4 Literature Review;165
11.5;5 Methodology;167
11.6;6 Measurement;168
11.7;7 Main Results;169
11.8;8 Hypothesis Testing;169
11.9;9 Discussion;175
11.10;10 Managerial Implications;176
11.11;11 Limitation and Futuristic Study;177
11.12;References;177
12;Assessing the Factors Militating Against Microfinance in Alleviating Chronic Poverty and Food Insecurity in Rural Northern Ghana;187
12.1;1 Introduction;187
12.1.1;1.1 Statement of the Problem;188
12.1.2;1.2 Research Objectives;189
12.2;2 Literature Review;189
12.2.1;2.1 Overview of the Microfinance Sector in Ghana and Government Policies;190
12.2.2;2.2 The Indigenes of Northern Ghana and Their Livelihood Roles;192
12.3;3 Methodology;194
12.3.1;3.1 Sample Procedure;194
12.3.2;3.2 Research Design;195
12.4;4 Findings;195
12.5;5 Conclusions;200
12.6;References;201
13;Improving the Mobile Payment Experience and Removing the Barriers;205
13.1;1 Introduction;205
13.2;2 Mobile Payments;206
13.2.1;2.1 Mobile Payments: A Short Introduction and Definition of Terms;206
13.2.2;2.2 Mobile Wallets: State of the Art;207
13.2.3;2.3 Alternative Mobile Payment Solutions;207
13.3;3 Barriers and Frictions in Mobile Wallet Experience;208
13.4;4 Improving Mobile Payment Experience;211
13.4.1;4.1 Pay by Your Bank: A New Mobile Payment Approach;211
13.4.2;4.2 Pay by Your Bank: User Experience and Payment Flow;212
13.4.3;4.3 Pay by Your Bank: Advantages for Customers, Merchants and Banks;212
13.5;5 Conclusion and Future Work;214
13.6;References;214
14;Financial Sector-Based Analysis of the G20 Economies Using the Integrated Decision-Making Approach with DEMATEL and TOPSIS;216
14.1;1 Introduction;216
14.2;2 Literature Review;217
14.3;3 Methodology;217
14.3.1;3.1 DEMATEL;217
14.3.2;3.2 TOPSIS;219
14.4;4 An Application on the G20 Economies;220
14.5;5 Discussion and Conclusions;222
14.6;References;227
15;Due Diligence for Bank M&A’s: Case from Turkey;230
15.1;1 Introduction;230
15.2;2 Literature Review;231
15.2.1;2.1 Hypothesis in Bank M&A’s;231
15.2.2;2.2 Success of M&As;232
15.3;3 The M&A’s in Turkey Banking Sector;232
15.3.1;3.1 Bank M&A’s 2001–2011 Period in Turkey;233
15.3.2;3.2 2017 Figures for M&A’s in Turkey;235
15.3.3;3.3 Problems in M&A for 2017;235
15.4;4 Due Diligence;236
15.4.1;4.1 M&A Value with Due Diligence;236
15.4.2;4.2 Bank Due Diligence Check List;237
15.4.3;4.3 Analysis of the Departments in a Bank;238
15.4.4;4.4 Due Diligence Example from Turkey;239
15.4.4.1;4.4.1 Valuation of the Investments;239
15.4.4.2;4.4.2 Commercial Banking;239
15.4.4.3;4.4.3 Retail Banking;240
15.4.4.4;4.4.4 Accounting in General;241
15.4.4.5;4.4.5 Non-current Assets;241
15.4.4.6;4.4.6 Subsidiaries;242
15.4.4.7;4.4.7 Law Department;242
15.4.4.8;4.4.8 MIS;242
15.4.4.9;4.4.9 Human Resources;242
15.4.4.10;4.4.10 Operations;243
15.5;5 Conclusion and Future Dimensions;244
15.6;References;245
16;International Insurance Industry and Systemic Risk;247
16.1;1 Introduction;247
16.2;2 Literature Review;247
16.3;3 Econometric Analysis and the Findings;249
16.3.1;3.1 Methodology;249
16.3.2;3.2 Data Set;250
16.3.3;3.3 Findings;250
16.4;4 Conclusion;254
16.5;References;254
17;Bounds of Macrofinance and the Quality of Credit Portfolio in Emerging Economies;256
17.1;1 Introduction;256
17.2;2 Literature Review;257
17.3;3 3 Econometric Analysis;258
17.3.1;3.1 Methodology: Panel VAR Models;258
17.3.2;3.2 Data Set;259
17.3.3;3.3 Empirical Findings;260
17.4;4 Results;264
17.5;Annex;264
17.6;References;265
18;Profitability Determinants of Islamic and Conventional Banks During the Global Financial Crises: The Case of Emerging Markets;267
18.1;1 Introduction;267
18.2;2 Literature Review;268
18.2.1;2.1 Islamic Banks;268
18.3;3 Methodology;270
18.4;4 Empirical Analysis and Results;272
18.4.1;4.1 Correlation Analysis;272
18.4.2;4.2 Regression Analysis;275
18.4.3;4.3 General Model Regression Analysis of All Banks;275
18.4.4;4.4 Specific Model Regression Analysis of Islamic and Conventional Banks;277
18.5;5 Conclusion;278
18.6;References;279