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This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples. Request Inspection Copy

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.

How will the funds of hedge funds (FoHF) business have to change to survive in the wake of the 2008-2012 financial crisis? This new research provides valuable insight. Reconsidering Funds of Hedge Funds presents the first comprehensive views of UCITS as well as recent trends in due diligence, risk management, and hedge fund deaths and survivors. The book contains original chapters by 22 academics and 16 hedge fund professionals, and includes two sections on performance: one that looks at UCITS FoHF and one that deals with traditional FoHF performance. Most chapters examine aspects of the 2008-2012 financial crisis, and almost every chapter addresses fund of hedge funds' management process before, during, and after the crisis. Covers recent advances in risk management, due diligence, tail risk, and allocation Presents an in-depth analysis of UCITs Balances academic and professional viewpoints

Participants in Asian financial markets have witnessed the unprecedented growth and sophistication of their investments since the 1997 crisis. Handbook of Asian Finance: REITs, Trading, and Fund Performance analyzes the forces behind these growth rates. Insights into banking, fund performance, and the effects of trading technologies for practitioners to tax evasion, market manipulation, and corporate governance issues are all here, presented by expert scholars. Offering broader and deeper coverage than other handbooks, the Handbook of Asian Finance: REITs, Trading, and Fund Performance explains what is going on in Asia today. Presents the only micro- and market-related analysis of pan-Asian finance available today Explores the implications implicit in the expansion of sovereign funds and the growth of the hedge fund and real estate fund management industries Investigates the innovations in technology that have ushered in faster capital flow and larger trading volumes

The objective of this handbook is to provide the readers with insights about current dynamics and future potential transformations of global financial markets. We intend to focus on four main areas: Dynamics of Financial Markets; Financial Uncertainty and Volatility; Market Linkages and Spillover Effects; and Extreme Events and Financial Transformations and address the following critical issues, but not limited to: market integration and its implications; crisis risk assessment and contagion effects; financial uncertainty and volatility; role of emerging financial markets in the global economy; role of complex dynamics of economic and financial systems; market linkages, asset valuation and risk management; exchange rate volatility and firm-level exposure; financial effects of economic, political and social risks; link between financial development and economic growth; country risks; and sovereign debt markets.

This comprehensive examination of high frequency trading looks beyond mathematical models, which are the subject of most HFT books, to the mechanics of the marketplace. In 25 chapters, researchers probe the intricate nature of high frequency market dynamics, market structure, back-office processes, and regulation. They look deeply into computing infrastructure, describing data sources, formats, and required processing rates as well as software architecture and current technologies. They also create contexts, explaining the historical rise of automated trading systems, corresponding technological advances in hardware and software, and the evolution of the trading landscape. Developed for students and professionals who want more than discussions on the econometrics of the modelling process, The Handbook of High Frequency Trading explains the entirety of this controversial trading strategy. Answers all questions about high frequency trading without being limited to mathematical modelling Illuminates market dynamics, processes, and regulations Explains how high frequency trading evolved and predicts its future developments

The worldwide impact of the Global Financial Crisis on stock markets, investors and fund managers has lead to a renewed interest in tools for robust risk management. Quantile regression is a suitable candidate and deserves the interest of financial decision makers given its remarkable capabilities for capturing and explaining the behaviour of financial return series more effectively than the ordinary least squares regression methods which are the standard tool. In this paper we present quantile regression estimation as an attractive additional investment tool, which is more efficient than Ordinary Least Square in analyzing information across the quantiles of a distribution. This translates into the more accurate calibration of asset pricing models and subsequent informational gains in portfolio formation. We present empirical evidence of the effectiveness of quantile regression based techniques as applied across the quantiles of return distributions to derive information for portfolio formation. We show, via stocks in Dow Jones Industrial Index, that at times of financial setbacks such as the Global Financial Crisis, a portfolio of stocks formed using quantile regression in the...

This comprehensive examination of short selling, which is a bet on stocks declining in value, explores the ways that this strategy drives financial markets. Its focus on short selling by region, its consideration of the history and regulations of short selling, and its mixture of industry and academic perspectives clarify the uses of short selling and dispel notions of its destructive implications. With contributions from around the world, this volume sheds new light on the ways short selling uncovers market forces and can yield profitable trades. Combines academic and professional research on short selling in all major financial markets Emphasizes details about strategies, implementations, regulation, and tax advantages Chapters provide summaries for readers who want up-to-date maps of subject landscapes

This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets.

In traditional tests of asset pricing theory Ordinary Least Squares (OLS) regression methods are used in empirical tests of factor models, which implies a focus on the means of the distributions of covariates. The work of Koenker and Basset (1982) and Koenker (2005) provides an alternative via Quantile regression featuring inference about conditional quantile functions. This study empirically examines the behaviour of the three risk factors from Fama-French Three Factor model of stock returns, beyond the mean of the distribution, by using quantile regressions and a US data set. The study not only shows that the factor models does not necessarily follow a linear relationship but also shows that the traditional method of OLS becomes less effective when it comes to analysing the extremes within a distribution, which is often of key interest to investors and risk managers.

All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions and many others encounter and must deal with risk. The main purpose of 'Investment Risk Management' is to provide an overview of developments in risk management and a synthesis of research involving the latest developments in the field.

This book is a collection of high-impact papers accepted and presented at the 2019 Vietnam’s Business and Economics Research Conference (VBER2019) organised by Ho Chi Minh City Open University held on 18th–20th July 2019. The Special Issue is associated with a broad coverage of the contemporary issues in Business and Economics in Vietnam and other emerging markets reflecting a key theme of VBER2019: Vietnam’s Place in the Asia Pacific Region. A total of 14 papers were published from more than the 120 submissions to the VBER2019 Conference. Published papers had been undergone a rigorous reviewing process conducted by the Journal of Risk and Financial Management. The papers incorporated in this book address contemporary issues in business and economics from Vietnam and other emerging markets in the Asian region from various angles such as economics, finance, and statistics to management science. At the time of writing this note, some of the papers have attracted more than 1000 downloads in 3 months. In particular, a paper on “Foreign Direct Investment and Economic Growth from Developing Countries in the Short Run and Long Run” by Trang Thi-Huyen Dinh and her team has...

The mining industry can be extremely volatile during times of economic downturn. We compare extreme risk in mining share portfolios from each of the world's seven leading mining areas using Conditional Value at Risk (CVaR) which measures those risks beyond traditional Value at Risk (VaR) metrics. We also show how CVaR can be used to optimise portfolios and minimise extreme risk. We find significant differences between countries in CVaR as compared to standard deviation risk rankings, as well as differences in portfolios optimised using CVaR compared to portfolios using traditional variance methodology. This indicates that investors will not adequately minimise risk using traditional approaches.

The severe bank stresses of the Global Financial Crisis (GFC) have underlined the importance of understanding and measuring extreme credit risk. The Australian economy is widely considered to have fared much better than the US and most other major world economies. This paper applies quantile regression and Monte Carlo simulation to the Merton structural credit model to investigate the impact of extreme asset value fluctuations on default probabilities of Australian companies in comparison to the USA. Quantile regression allows modelling of the extreme quantiles of a distribution which allows measurement of capital and PDs at the most extreme points of an economic downturn, when companies are most likely to fail. Daily asset value fluctuations of over 600 Australian and US investment and speculative entities are examined over a ten year period spanning pre-GFC and GFC. The events of the GFC also showed how the capital of global banks was eroded as defaults increased. This paper therefore also examines the impact of these fluctuating default probabilities on the capital adequacy of Australian and US banks. The paper finds highly significant variances in default probabilities and...

It is widely acknowledged that many financial modelling techniques failed during the financial crisis, and in our post-crisis environment many techniques are being reconsidered. This single volume provides a guide to lessons learned for practitioners and a reference for academics. Including reviews of traditional approaches, real examples, and case studies, contributors consider portfolio theory; methods for valuing equities and equity derivatives, interest rate derivatives, and hybrid products; and techniques for calculating risks and implementing investment strategies. Describing new approaches without losing sight of their classical antecedents, this collection of original articles presents a timely perspective on our post-crisis paradigm. Highlights pre-crisis best classical practices, identifies post-crisis key issues, and examines emerging approaches to solving those issues Singles out key factors one must consider when valuing or calculating risks in the post-crisis environment Presents material in a homogenous, practical, clear, and not overly technical manner

A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today's uncertain world of globalization, market volatility, and geo-political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.

Study with special reference to maritime trade of Bengal, India with Netherlands in 17th century and with Great Britain in 18th century.

Whilst the Australian economy is widely considered to have fared better than many of its global counterparts during the Global Financial Crisis, there was nonetheless extreme volatility experienced in Australian financial markets. To understand the extent to which emerging Australia entities were impacted by these extreme events as compared to established entities, this paper compares entities comprising the Emerging Markets Index (EMCOX) to established entities comprising the S & P/ASX 200 Index using four risk metrics. The first two are Value at Risk (VaR) and Distance to Default (DD), which are traditional measures of market and credit risk. The other two focuses on extreme risk in the tail of the distribution and include Conditional Value at Risk (CVaR) and Conditional Distance to Default (CDD), the latter metric being unique to the authors, and which applies CVaR techniques to default measurement. We apply these measures both prior to and during the GFC, and find that Emerging Market shares show higher risk for all metrics used, the spread between the emerging and established portfolios narrows during the GFC period and that the default risk spread between the two portfolios...

This book examines the reasons behind the Great Divergence. Kaveh Yazdani analyzes India’s socio-economic, techno-scientific, military, political and institutional developments. The focus is on Gujarat between the 17th and early 19th centuries and Mysore during the second half of the 18th century.

This book provides a comprehensive overview of socio-economic impact assessments for genetically modified organisms, including genetically modified crops. It features case studies involving Bt cotton and other selected crops with improved traits from six major institutions in India and combines field data with surveys on stakeholder perceptions. It also discusses global trends in the socio-economic assessment of GMOs and reviews the available literature on the economic assessment of GM crops and how various countries have implemented Article 26.1 of the Cartagena Protocol on Biosafety. Further, it explores cost–benefit analyses and sociological aspects of socio-economic assessments.Based on this, the book proposes a framework and offers guidelines for socio-economic assessment that can be adapted for various GM crops. Lastly, it examines the relevance of socio-economic impact assessment in light of new applications such as GM mosquitoes and gene drives. Given its scope, the book is of interest to all academics, policymakers, regulators, and general readers concerned about the broader impacts of GM crops and applications like gene drives.

The Economic Survey is the budget document of the Government of India, which is presented in parliament every year. It presents the state of affairs of the Indian economy. Economic Survey 2018-19 consists of two volumes, which analyse the performance of the Indian economy for the financial year 2018–19.

With the growing number of stocks and other financial instruments in the investment market, there is always a need for profitable methods of asset selection. The Fama-French three factor model, makes the problem of asset selection easy, by narrowing down the number of parameters, but the usual technique of Ordinary Least Square (OLS), used for estimation of the coefficients of the three factors suffers from the problem of modelling using the conditional mean of the distribution, as is the case with OLS. In this paper, we use the technique of Data Envelopment Analysis (DEA) applied to the Fama-French Three Factor Model, to choose stocks from Dow Jones Industrial Index. We use a more robust technique called as Quantile Regression to estimate the coefficients for the factor model and show that the assets selected using this regression method form a higher return equally weighted portfolio.

The Routledge Handbook of the History of Colonialism in South Asia provides a comprehensive overview of the historiographical specialisation and sophistication of the history of colonialism in South Asia. It explores the classic works of earlier generations of historians and offers an introduction to the rapid and multifaceted development of historical research on colonial South Asia since the 1990s. Covering economic history, political history, and social history and offering insights from other disciplines and ‘turns’ within the mainstream of history, the handbook is structured in six parts: Overarching Themes and Debates The World of Economy and Labour Creating and Keeping Order: Science, Race, Religion, Law, and Education Environment and Space Culture, Media, and the Everyday Colonial South Asia in the World The editors have assembled a group of leading international scholars of South Asian history and related disciplines to introduce a broad readership into the respective subfields and research topics. Designed to serve as a comprehensive and nuanced yet readable introduction to the vast field of the history of colonialism in the Indian subcontinent, the handbook will be...

Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.

This book offers essential information on geospatial technologies for water resource management and highlights the latest GIS and geostatistics techniques as they relate to groundwater. Groundwater is inarguably India's single most important natural resource. It is the foundation of millions of Indian farmers' livelihood security and the primary source of drinking water for a vast majority of Indians in rural and urban areas. The prospects of continued high rates of growth in the Indian economy will, to a great extent, depend on how judiciously we can manage groundwater in the years to come. Over the past three decades, India has emerged as by far the single largest consumer of groundwater in the world. Though groundwater has made the country self-sufficient in terms of food, we face a crisis of dwindling water tables and declining water quality. Deep drilling by tube wells, which was once part of the solution to water shortages, is now in danger of becoming part of the problem. Consequently, we urgently need to focus our efforts on the sustainable and equitable management of groundwater. Addressing that need, this book presents novel advances in and applications of RS–GIS and...

It is also essential to study the success of technology use in some of the advanced nations in the Asian region that promote a smarter and well-advanced community. A smarter community in these regions can only be materialized by adopting the latest trends in technology to improve quality of life. Some of these regions need a great emphasis on technology adoption for women empowerment and safety, promoting better health with telemedicine facilities, environment, and disaster prevention with IoT technologies, water treatment and sanitation, and addressing food scarcity issues with smarter precision agriculture. Ultimately, there needs to be more research focused on a smarter and secured community in the Asian region in terms of cultural and socioeconomic factors and technology advancements. ICT Solutions for Improving Smart Communities in Asia explores new possibilities using digital solutions and technologies to create collaborative and smarter communities for advancement in agriculture, the health sector, education centers, human resources, and administrative domains, as well as other areas to improve the overall living standards of people at the community level. This book will...

This book deals with importance of opportunities for doubling farmers’ income, enhancing farmers’ income, employment generation, improving food and nutritional security, enrichment of soil, air and water quality, enhancing biodiversity, aesthetic and recreational value, carbon sequestration and climate change and mitigation through agroforestry. This book contains 20 chapters naming introduction, policy & scheme, IFS, sericulture, lac culture, apiculture and economically important tree species (Teak, Gamhar, Poplar, Malabar neem, Eucalyptus, Sandalwood and Bamboo), horticulture/fruit tree species (Mango, Aonla, Guava, Coconut, Cashew nut, and Medicinal and Aromatic plants) based agroforestry system which gives higher gross income, net return, B: C ratio than open farming system (sole crops).

Value-at-Risk (VaR) has become the universally accepted metric adopted internationally under the Basel Accords for banking industry internal control and for regulatory reporting. This has focused attention on methods of measuring, estimating and forecasting lower tail risk. One promising technique is Quantile Regression which holds the promise of efficiently calculating (VAR). To this end, Engle and Manganelli in (2004) developed their CAViaR model (Conditional Autoregressive Value at Risk). In this paper we apply their model to Australian Stock Market indices and a sample of stocks, and test the efficacy of four different specifications of the model in a set of in and out of sample tests. We also contrast the results with those obtained from a GARCH(1,1) model, the RiskMetricsTM model and an APARCH model.

Includes papers and proceedings of the annual meeting of the American Economic Association. Covers all areas of economic research.

A brilliantly reported, global look at universal basic income—a stipend given to every citizen—and why it might be the answer for our age of rising inequality, persistent poverty, and dazzling technology. Imagine if every month the government deposited $1,000 into your checking account, with no strings attached and nothing expected in return. It sounds crazy. But it has become one of the most influential and discussed policy ideas of our time. The founder of Facebook, President Obama’s chief economist, Canada and Finland’s governments, the conservative and labor movements’ leading intellectual lights—all are seriously debating versions of a UBI. In this sparkling and provocative book, economics writer Annie Lowrey looks at the global UBI movement. She travels to Kenya to see how a UBI is lifting the poorest people on earth out of destitution, India to see how inefficient government programs are failing the poor, South Korea to interrogate UBI’s intellectual pedigree, and Silicon Valley to meet the tech titans financing UBI pilots in expectation of a world with advanced artificial intelligence and little need for human labor. Lowrey also examines the challenges the...

This book reports on a fundamental economic policy shift in transition and developing countries after the mid-1980s. Since that time the liberalization of international trade and finance has been among the principal forces for increasing global integration. Looking at the experiences of nine countries--Argentina, Columbia, Cuba, India, Mexico, Russia, Korea, Turkey, and Zimbabwe--and the often negative effects that liberalization has had on them, the contributors include policy recommendations for often-overlooked problems and challenges posed by globalization.