Green Transportation and Energy Consumption in China (Routledge Advances in Risk Management)

This book provides insights into China's energy consumption and pollution as well as its energy saving policies. It explores energy saving ways and argues for an energy consumption revolution, which includes technologies to improve transportation resource efficiency, modification of existing transportation infrastructure and structure. This book uses various analytical models to study the relationships within the transportation system. It also includes comparative analysis of China, Japan, the US and developing countries on traffic demand and transportation energy consumption. This book highlights the urgent need to review China's current transportation policies in order to secure a breakthrough in energy saving and emissions reduction.

Wang, Shouyang

Lai, Kin-Keung

杨颖

Chai, Jian

Lu, Quanying

Xing, Limin

Liang, Ting

Reference

Routledge

This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.

Forecasting Air Travel Demand (Routledge Advances in Risk Management)

Business & Money

Zheng, Yafei

Economics

Renminbi Exchange Rate Forecasting (Routledge Advances in Risk Management)

Wei, Yunjie

Finance

With the internationalization of Renminbi (RMB), the gradual liberalization of China's capital account and the recent reform of the RMB pricing mechanism, the RMB exchange rate has been volatile. This book examines how we can forecast exchange rate reliably. It explains how we can do so through a new methodology for exchange rate forecasting. The book also analyzes the dynamic relationship between exchange rate and the exchange rate data decomposition and integration, the domestic economic situation, the international economic situation and the public's expectations and how these interactions would affect the exchange rate. The book also explains why this comprehensive integrated approach is the best model for optimizing accuracy in exchange rate forecasting.

Candlestick charts are often used in speculative markets to describe and forecast asset price movements. This book is the first of its kind to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book proposes a novel technique to obtain the statistical properties of candlestick charts. The technique, which is known as the range decomposition technique, shows how security price is approximately logged into two ranges, i.e. technical range and Parkinson range. 
Through decomposition-based modeling techniques and empirical datasets, the book investigates the power of, and establishes the statistical foundation of, candlestick forecasting.

Candlestick Forecasting for Investments (Routledge Advances in Risk Management)

Xie, Haibin

Fan, Kuikui

Investing

Candlestick Forecasting for Investments: Applications, Models and Properties (Routledge Advances in Risk Management)

This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science, 107)

Yu, Lean

Springer

This volume summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past few decades. Specifically, the book focuses on V-invex functions in vector optimization that have grown out of the work of Jeyakumar and Mond in the 1990’s. The authors integrate related research into the book and demonstrate the wide context from which the area has grown and continues to grow.

V-Invex Functions and Vector Optimization (Springer Optimization and Its Applications, 14)

Mishra, Shashi K.

Management & Leadership

Information Spillover Effect and Autoregressive Conditional Duration Models (Routledge Advances in Risk Management)

This book studies the information spillover among financial markets and explores the intraday effect and ACD models with high frequency data. This book also contributes theoretically by providing a new statistical methodology with comparative advantages for analyzing co-movements between two time series. It explores this new method by testing the information spillover between the Chinese stock market and the international market, futures market and spot market. Using the high frequency data, this book investigates the intraday effect and examines which type of ACD model is particularly suited in capturing financial duration dynamics.  The book will be of invaluable use to scholars and graduate students interested in co-movements among different financial markets and financial market microstructure and to investors and regulation departments looking to improve their risk management.

Liu, Yanhui

Liu, Xiangli

Hong, Yongmiao

Managing Risk of Supply Chain Disruptions (Routledge Advances in Risk Management)

This book discusses important issues related to managing supply chain disruption risks from various perspectives. It explores the essence and principles relating to managing these risks and provides the framework and multi-goal model groups for managing such risks. The book also discusses research development of managing supply chain disruptive risks, supply chain risk conduction and loss assessment methods of supply chain disruptive events. It also includes the consideration of supply chain coordinating models in the cases of demand and supply disruption risks. It also deals on the subject of managing models of supply chain disruption risks by looking at manufacturers and responding decision methods oriented towards demand in disruption and coordination. It also summarizes the relevant findings and provides future research questions and orientations. The book will contributes significantly to the growing body of knowledge concerning the theory of managing supply chains.

Shu, Tong

Chen, Shou

Zhang, Xizheng

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