Financial Risk Management in Banking

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A01=Sardar Islam
A01=Shahsuzan Zakaria
Age Group_Uncategorized
Age Group_Uncategorized
Author_Sardar Islam
Author_Shahsuzan Zakaria
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banking industry
Banking risk
Bootstrap Data Envelopment Analysis
Bootstrap DEA
Category1=Non-Fiction
Category=KFFK
Category=KJC
CCR Model
Chance Constrained Data Envelopment Analysis
COP=United Kingdom
Data Envelopment Analysis
DEA Approach
DEA Measurement
DEA Model
DEA Window Analysis
Delivery_Delivery within 10-20 working days
Derivatives Usage
Deterministic DEA
Dollar Offset Ratio
Efficiency Scores
Efficient DMU
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Extreme Efficient DMU
financial crisis
Financial uncertainty
Hedge Accounting
Hedge Effectiveness
Hedged Items
Hedging Instrument
Interest Rate Swaps
Language_English
Measuring Hedge Effectiveness
OLS Regression
Original DEA
PA=Available
Price_€100 and above
PS=Active
PTE Score
Risk Management Efficiency
Risk management efficiency measurement
softlaunch
Stochastic DEA
Stochastic Efficiency
Traditional DEA
Traditional DEA Approach

Product details

  • ISBN 9781138388277
  • Weight: 542g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Aug 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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As risk-taking is an essential part of the banking industry, banks must practise efficient risk management to ensure survival in uncertain financial climates. Banking operations are specifically affected by fluctuations in interest rates which cause financial imbalance; thus banks are now required to put in place an effective management structure that incorporates risk management efficiency measures that help mitigate the wide range of risks they face.

In this book, the authors have developed a new modelling approach to determine banks’ financial risk management by offering detailed insights into the integrated approach of dollar-offset ratio and Data Envelopment Analysis (DEA), based on derivatives usage. It further analyses the efficiency measurement under stochastic DEA approaches, namely (i) Bootstrap DEA (BDEA), (ii) Sensitivity Analysis and (iii) Chance-Constrained DEA (CCDEA). As demonstrated in the modelling exercise, this integrated approach can be applied to other cases that require risk management efficiency measurement strategies.

Additionally, this is the first book to comprehensively review the derivative markets of both the developed and developing countries in the Asia-Pacific region, by examining the differences of risk management efficiency of the banking institutions in these countries.

Based on this measurement approach, strategies are provided for banks to improve their strategic risk management practices, as well as to reduce the impacts from external risks, such as changes in interest rates and exchange rates. Furthermore, this book will help banks to keep abreast of recent developments in the field of efficiency studies in management accounting, specifically in relation to hedge accounting, used by banks in the Asia-Pacific region.

Shahsuzan Zakaria, PhD, is an Assistant Professor at the Faculty of Business and Management, Universiti Teknologi MARA (UiTM), Kelantan, Malaysia.

Sardar M. N. Islam, PhD, is currently a Professor of Economic Studies (and has also been a Professor of Business, Economics and Finance (2007–2017)) at Victoria University, Melbourne, Australia.

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