Chinese Debt Capital Markets: An Emerging Global Market With Chinese Characteristics

Chinese Debt Capital Markets: An Emerging Global Market With Chinese Characteristics

Author: Xuebin Chen

Publisher: World Scientific

Published: 2024-01-23

Total Pages: 778

ISBN-13: 9811280371

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With the deepening of China's reform and opening up, and the sustained development of the Chinese economy, the Chinese bond market has become an important player in the global bond market. As at the end of 2022, the custodial balance of the Chinese bond market reached RMB14.48 trillion, ranking second in the world and the largest bond market in Asia. As a maturing emerging market in the world, the Chinese bond market not only follows the general rules of global bond markets, but also has some of its own characteristics. To make effective investments and financing in this market, a comprehensive and profound understanding of the market is required.This book is the result of a joint research project 'Function, Structure, and Development of China's Debt Capital Market,' supported by the China National Natural Science Foundation and the Economic and Social Research Council of the United Kingdom. It includes contributions by professors, associate professors, and postgraduates from Fudan University and the London School of Economics. From the perspectives of institutional framework, market functions, market structure, and market development, the book provides a systematic and in-depth analysis and exploration of the macro-effects, microstructure, local government bond market, corporate bond market, debt derivatives market, and market supervision and regulation of the Chinese credit bond market. It is an important reference for international investors and researchers to gain a deep understanding of the evolution of the fundamental institutional framework, structure, and functions of the Chinese credit bond market.


The Economics of Food Price Volatility

The Economics of Food Price Volatility

Author: Jean-Paul Chavas

Publisher: University of Chicago Press

Published: 2014-10-14

Total Pages: 394

ISBN-13: 022612892X

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"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.


Martin Pring on Market Momentum

Martin Pring on Market Momentum

Author: Martin J. Pring

Publisher: Irwin Professional Publishing

Published: 1997

Total Pages: 0

ISBN-13: 9780786311767

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Martin Pring's book is the first in-depth look at the subject of market momentum and is heavily illustrated with graphs and charts that provide visual examples of every theory and concept relating to investments and the markets


Commodity Price Dynamics

Commodity Price Dynamics

Author: Craig Pirrong

Publisher: Cambridge University Press

Published: 2011-10-31

Total Pages: 239

ISBN-13: 1139501976

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Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.


Multi-Asset Risk Modeling

Multi-Asset Risk Modeling

Author: Morton Glantz

Publisher: Academic Press

Published: 2013-12-03

Total Pages: 545

ISBN-13: 0124016944

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Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. - Covers all asset classes - Provides mathematical theoretical explanations of risk as well as practical examples with empirical data - Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities


Advanced Fixed Income Analysis

Advanced Fixed Income Analysis

Author: Moorad Choudhry

Publisher: Elsevier

Published: 2015-08-28

Total Pages: 268

ISBN-13: 0080999417

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Each new chapter of the Second Edition covers an aspect of the fixed income market that has become relevant to investors but is not covered at an advanced level in existing textbooks. This is material that is pertinent to the investment decisions but is not freely available to those not originating the products. Professor Choudhry's method is to place ideas into contexts in order to keep them from becoming too theoretical. While the level of mathematical sophistication is both high and specialized, he includes a brief introduction to the key mathematical concepts. This is a book on the financial markets, not mathematics, and he provides few derivations and fewer proofs. He draws on both his personal experience as well as his own research to bring together subjects of practical importance to bond market investors and analysts. - Presents practitioner-level theories and applications, never available in textbooks - Focuses on financial markets, not mathematics - Covers relative value investing, returns analysis, and risk estimation


ARCH Models for Financial Applications

ARCH Models for Financial Applications

Author: Evdokia Xekalaki

Publisher: John Wiley & Sons

Published: 2010-03-18

Total Pages: 558

ISBN-13: 9780470688021

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Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical background, before proceeding to more advanced issues and applications. The Authors provide coverage of the recent developments in ARCH modelling which can be implemented using econometric software, model construction, fitting and forecasting and model evaluation and selection. Key Features: Presents a comprehensive overview of both the theory and the practical applications of ARCH, an increasingly popular financial modelling technique. Assumes no prior knowledge of ARCH models; the basics such as model construction are introduced, before proceeding to more complex applications such as value-at-risk, option pricing and model evaluation. Uses empirical examples to demonstrate how the recent developments in ARCH can be implemented. Provides step-by-step instructive examples, using econometric software, such as Econometric Views and the G@RCH module for the Ox software package, used in Estimating and Forecasting ARCH Models. Accompanied by a CD-ROM containing links to the software as well as the datasets used in the examples. Aimed at readers wishing to gain an aptitude in the applications of financial econometric modelling with a focus on practical implementation, via applications to real data and via examples worked with econometrics packages.


The Science of Algorithmic Trading and Portfolio Management

The Science of Algorithmic Trading and Portfolio Management

Author: Robert Kissell

Publisher: Academic Press

Published: 2013-10-01

Total Pages: 492

ISBN-13: 0124016936

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The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. - Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. - Helps readers design systems to manage algorithmic risk and dark pool uncertainty. - Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.


Handbook of Economic Forecasting

Handbook of Economic Forecasting

Author: Graham Elliott

Publisher: Elsevier

Published: 2013-08-23

Total Pages: 667

ISBN-13: 0444627405

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The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics