This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.

The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.

Methods and techniques adopted in teaching, training, learning, research, professional development, or capacity building are generally standardized across most traditional disciplines, particularly within developing countries. This is not the case, however, when it comes to the Islamic disciplines, and, in particular, in relation to the study of Islamic economics and finance, which is influenced by conventional standards and techniques. This is primarily due to the lack of availability of the requisite standards and mechanisms designed within the spirit of Maqsid al-Shari’ah. This book offers a unique resource and a comprehensive overview of the contemporary methods and smart techniques available for teaching, learning, and researching Islamic eco-finance, and it presents solutions to the challenges in implementing them. Further, the book gives deep insight into the most appropriate methodologies that could be employed empirically to explore, model, analyze, and evaluate Islamic finance theories and models, respectively. It also gives recommendations for improving learning, teaching, and research outcomes in Islamic eco-finance. The book also addresses how, in this advanced technological era, smart tools like artificial intelligence, machine learning, big data, Zoom, and the internet of things can be adapted to help equip students, researchers, and scholars with smart skills. The book will enable those studying Islamic economics and finance to grasp the appropriate tools for research and learning. Additionally, the Islamic economics and finance sector is growing at a significant rate and therefore requires the upskilling and capacity building of its human resources; thus, the book will also be highly beneficial for practitioners involved in the industry.

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.

Volume 1B covers the economics of financial markets: the saving and investment decisions; the valuation of equities, derivatives, and fixed income securities; and market microstructure.

A comprehensive guide to the current theories and methodologies intrinsic to fixed-income securities Written by well-known experts from a cross section of academia and finance, Handbook of Fixed-Income Securities features a compilation of the most up-to-date fixed-income securities techniques and methods. The book presents crucial topics of fixed income in an accessible and logical format. Emphasizing empirical research and real-life applications, the book explores a wide range of topics from the risk and return of fixed-income investments, to the impact of monetary policy on interest rates, to the post-crisis new regulatory landscape. Well organized to cover critical topics in fixed income, Handbook of Fixed-Income Securities is divided into eight main sections that feature: • An introduction to fixed-income markets such as Treasury bonds, inflation-protected securities, money markets, mortgage-backed securities, and the basic analytics that characterize them • Monetary policy and fixed-income markets, which highlight the recent empirical evidence on the central banks’ influence on interest rates, including the recent quantitative easing experiments • Interest rate risk measurement and management with a special focus on the most recent techniques and methodologies for asset-liability management under regulatory constraints • The predictability of bond returns with a critical discussion of the empirical evidence on time-varying bond risk premia, both in the United States and abroad, and their sources, such as liquidity and volatility • Advanced topics, with a focus on the most recent research on term structure models and econometrics, the dynamics of bond illiquidity, and the puzzling dynamics of stocks and bonds • Derivatives markets, including a detailed discussion of the new regulatory landscape after the financial crisis and an introduction to no-arbitrage derivatives pricing • Further topics on derivatives pricing that cover modern valuation techniques, such as Monte Carlo simulations, volatility surfaces, and no-arbitrage pricing with regulatory constraints • Corporate and sovereign bonds with a detailed discussion of the tools required to analyze default risk, the relevant empirical evidence, and a special focus on the recent sovereign crises A complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, Handbook of Fixed-Income Securities is also a useful supplementary textbook for graduate and MBA-level courses on fixed-income securities, risk management, volatility, bonds, derivatives, and financial markets. Pietro Veronesi, PhD, is Roman Family Professor of Finance at the University of Chicago Booth School of Business, where he teaches Masters and PhD-level courses in fixed income, risk management, and asset pricing. Published in leading academic journals and honored by numerous awards, his research focuses on stock and bond valuation, return predictability, bubbles and crashes, and the relation between asset prices and government policies.

A concise, accessible introduction to maths for economics with lots of practical applications to help students learn in context.

In this thematic issue of the Journal of Entrepreneurship, Management and Innovation, entitled Qualitative Research in Economics and Management Sciences, the authors used many quantitative methods and research models, e.g. SEM, PLS-SEM, or probit models (Table 1). Each of these approaches is characterized by methodological rigor and an assessment of the reliability and validity of the research instruments used. Pini and Tchorek (2022) analyze the determinants of exports in two European, culturally related countries, such as Italy and Poland, using an econometric and probit model, which implies a normal distribution of errors and is adapted to binary responses (excluding size and age variables). The authors investigate the influence of many independent variables (size, age, management by family members or external managers) on the dependent variable (export), controlling the research model by product and process innovation, location in a less developed region, operations in a high/medium-high technology-intensive sector or cooperation with many banks. The results confirm the authors' initial assumptions that the size of companies influences the exports of the surveyed countries; the age of companies exporting their goods is more important in Italy than in Poland, where no such impact has been recorded. In addition, management by an external manager increases the likelihood of exports for younger family businesses in Italy and smaller family businesses in Poland. The authors also showed that product innovation is the engine of exports in Italy and Poland, and geographic location affects the likelihood of exports in Italy, but not in Poland. In other studies, Paulino (2022) presents the growing business analytics and business intelligence in the Philippines, their impact on organizational performance, and marketing, financial, and business process performance indicators. Retail companies were selected for the study, focusing on advanced data management used in business operations. The author mainly used the well-known PLS-SEM model, and his research instrument was assessed in terms of content validity, construct validity, and reliability. The results of the measurement and structural model evaluation were also subject to verification. The results indicate the impact of business analytics capabilities (including the ability of the decision support system (DSS), business process improvement (BPM), data dashboard (DD), and financial analysis (FA) on the business intelligence level. In addition, it has been empirically verified that organizational performance influences marketing, financial, and business process performance. Overall, business intelligence is an essential predictor of a retail company's organizational performance. The assumption that the level of readiness to implement business analytics can be treated as a moderating factor between business analytics and organizational performance has not been confirmed. The next article by Klimontowicz and Majewska (2022) presents the positive impact of intellectual capital (IC), especially its three components, such as process capital, human capital and relational capital, on the competitiveness of banks and market efficiency. The authors used the following methods and tools: Principal Axis Factor Analysis, PLS-SEM, PAPI, and CAWI. As a result of their application, they emphasize that, in contrast to previous research, the process capital dominates the bank's potential to create a competitive advantage, not human capital, proving the vital role of technology and innovation. They found that competitive performance moderates the relationship between IC and market efficiency; the environment positively moderates the relationship between IC and competitor performance as well as the relationship between competitor performance and market efficiency. The size of the bank and the length of its market activity affect the market efficiency measured by the average rate of changes in ROA and ROE. The study expands the existing evidence, mainly from well-developed countries, on the intellectual capital of Polish banks, emphasizing the process capital to a much greater extent as a modern and so far little exposed component of IC in other research. The last two articles refer to human resource management. Hassan's study (2022) explores the impact of human resource management (HRM) practices on employee retention. In addition, he moderates the role of performance evaluation, training and development in the relationship between HRM practices and employee retention. Using SEM and questionnaires validated by other researchers, the author proves the originality of research in the retail sector in the Maldives on improving employee retention, a complementary approach to the impact of rewards and compensations, training and employee development, as well as assessing their results in human capital management, recommending practical solutions for the sector retail Maldives. In another study on workers’ adaptive performance, Tan and Antonio (2022) using PLS-SEM prove that the new form of remote work and the so-called e-leadership forced by the COVID-19 pandemic have changed the way employers and employees interact. Organizational commitment, teleworking and a sense of purpose affect the adaptive performance of employees directly, while the perception of e-leadership indirectly. It is also one of the first studies to capture intrinsic motivation as the antecedent of employee adaptive performance, along with perceived e-leadership and teleworking results.

Bringing together the recent advances and innovative methods in macroeconomic forecasting, this erudite Handbook outlines how to forecast, including following world events such as the Covid-19 pandemic and the global financial crisis. With contributions from global experts, chapters explore the use of machine-learning techniques, the value of social media data, and climate change forecasting. This title contains one or more Open Access chapters.

This book is a compilation of the best papers presented at the APEF 2019 conference which was held on 25th and 26th July 2019 at the Grand Copthorne Waterfront in Singapore. With a great number of submissions, it presents the latest research findings in economics and finance and discusses relevant issues in today's world. The book is a useful resource for readers who want access to economics, finance and business research focusing on the Asia-Pacific region.