Income Diversification in the Chinese Banking Industry: Challenges and Opportunities PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Income Diversification in the Chinese Banking Industry: Challenges and Opportunities PDF full book. Access full book title Income Diversification in the Chinese Banking Industry: Challenges and Opportunities by Zhixian Qu. Download full books in PDF and EPUB format.
Author: Zhixian Qu Publisher: Springer Nature ISBN: 9811558906 Category : Business & Economics Languages : en Pages : 177
Book Description
This book provides an overview of the historical financial reforms and regulatory changes in China, highlighting the background to and causes of changes in the income structure of China's banks. It also investigates ongoing concerns with regard to banking diversification in China, and its consequences, amid the global trend of banks’ shift to non-traditional businesses. Focusing on three critical aspects of bank-income diversification, namely the effects on profitability, risk level, and efficiency, it employs the concept of systemically important banks, which describes the scale and degree of influence a bank has in global and domestic financial markets. More importantly, rather than replicating techniques employed in the research on developed markets, it applies several improved methodologies to address bank diversification in the specific context created by China’s unique institutional background and data characteristics, such as GMM-type threshold models and stochastic frontier analysis with the within maximum likelihood estimation. Shedding new light on the current status of income diversification in the Chinese banking sector, this book is a valuable resource for readers in fields such as banking and financial stability. It will also help banking professionals and financial regulatory authorities to better understand the reform of China's financial industry and the future direction of banking.
Author: Zhixian Qu Publisher: Springer Nature ISBN: 9811558906 Category : Business & Economics Languages : en Pages : 177
Book Description
This book provides an overview of the historical financial reforms and regulatory changes in China, highlighting the background to and causes of changes in the income structure of China's banks. It also investigates ongoing concerns with regard to banking diversification in China, and its consequences, amid the global trend of banks’ shift to non-traditional businesses. Focusing on three critical aspects of bank-income diversification, namely the effects on profitability, risk level, and efficiency, it employs the concept of systemically important banks, which describes the scale and degree of influence a bank has in global and domestic financial markets. More importantly, rather than replicating techniques employed in the research on developed markets, it applies several improved methodologies to address bank diversification in the specific context created by China’s unique institutional background and data characteristics, such as GMM-type threshold models and stochastic frontier analysis with the within maximum likelihood estimation. Shedding new light on the current status of income diversification in the Chinese banking sector, this book is a valuable resource for readers in fields such as banking and financial stability. It will also help banking professionals and financial regulatory authorities to better understand the reform of China's financial industry and the future direction of banking.
Author: Subal C. Kumbhakar Publisher: Cambridge University Press ISBN: 1316194493 Category : Business & Economics Languages : en Pages : 375
Book Description
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
Author: Subal C. Kumbhakar Publisher: Cambridge University Press ISBN: 1107717302 Category : Business & Economics Languages : en Pages : 348
Book Description
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis.
Author: Subal Kumbhakar Publisher: Now Publishers ISBN: 9781601988966 Category : Business & Economics Languages : en Pages : 140
Book Description
Efficiency Analysis details the important econometric area of efficiency estimation, both past approaches as well as new methodology. There are two main camps in efficiency analysis: that which estimates maximal output and attributes all departures from this as inefficiency, known as Data Envelopment Analysis (DEA), and that which allows for both unobserved variation in output due to shocks and measurement error as well as inefficiency, known as Stochastic Frontier Analysis (SFA). This volume focuses exclusively on SFA. The econometric study of efficiency analysis typically begins by constructing a convoluted error term that is composed on noise, shocks, measurement error, and a one-sided shock called inefficiency. Early in the development of these methods, attention focused on the proposal of distributional assumptions which yielded a likelihood function whereby the parameters of the distributional components of the convoluted error could be recovered. The field evolved to the study of individual specific efficiency scores and the extension of these methods to panel data. Recently, attention has focused on relaxing the stringent distributional assumptions that are commonly imposed, relaxing the functional form assumptions commonly placed on the underlying technology, or some combination of both. All told exciting and seminal breakthroughs have occurred in this literature, and reviews of these methods are needed to effectively detail the state of the art. The generality of SFA is such that the study of efficiency has gone beyond simple application of frontier methods to study firms and appears across a diverse set of applied milieus. This review should appeal to those outside of the efficiency literature seeking to learn about new methods which might assist them in uncovering phenomena in their applied area of interest.
Author: Timothy J. Coelli Publisher: Springer Science & Business Media ISBN: 9780387242651 Category : Business & Economics Languages : en Pages : 376
Book Description
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Author: Armando Mendes Publisher: Springer Science & Business Media ISBN: 9400757395 Category : Science Languages : en Pages : 207
Book Description
The editors draw on a 3-year project that analyzed a Portuguese area in detail, comparing this study with papers from other regions. Applications include the estimation of technical efficiency in agricultural grazing systems (dairy, beef and mixed) and specifically for dairy farms. The conclusions indicate that it is now necessary to help small dairy farms in order to make them more efficient. These results can be compared with the technical efficiency of a sample of Spanish dairy processing firms presented by Magdalena Kapelko and co-authors.
Author: Cheng Few Lee Publisher: World Scientific ISBN: 9811202400 Category : Business & Economics Languages : en Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Author: Michael McAleer Publisher: MDPI ISBN: 3038974439 Category : Business & Economics Languages : en Pages : 536
Book Description
Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.A Special Issue of “Risk Measures with Applications in Finance and Economics” will be devoted to advancements in the mathematical and statistical development of risk measures with applications in finance and economics. This Special Issue will bring together the theory, practice and real-world applications of risk measures. This book is a collection of papers published in the Special Issue of “Risk Measures with Applications in Finance and Economics” for Sustainability in 2018.
Author: Harold O. Fried Publisher: Oxford University Press ISBN: 0198040504 Category : Business & Economics Languages : en Pages : 653
Book Description
When Harold Fried, et al. published The Measurement of Productive Efficiency: Techniques and Applications with OUP in 1993, the book received a great deal of professional interest for its accessible treatment of the rapidly growing field of efficiency and productivity analysis. The first several chapters, providing the background, motivation, and theoretical foundations for this topic, were the most widely recognized. In this tight, direct update, these same editors have compiled over ten years of the most recent research in this changing field, and expanded on those seminal chapters. The book will guide readers from the basic models to the latest, cutting-edge extensions, and will be reinforced by references to classic and current theoretical and applied research. It is intended for professors and graduate students in a variety of fields, ranging from economics to agricultural economics, business administration, management science, and public administration. It should also appeal to public servants and policy makers engaged in business performance analysis or regulation.
Author: Zhixian Qu
Author: Zhixian Qu
Author: Subal C. Kumbhakar
Author: Subal C. Kumbhakar
Author: Herman J. Bierens
Author: Subal Kumbhakar
Author: Timothy J. Coelli
Author: Armando Mendes
Author: Cheng Few Lee
Author: Michael McAleer
Author: Harold O. Fried