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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.
Executive Compensation Best Practices demystifies the topic of executive compensation, with a hands-on guide providing comprehensive compensation guidance for all members of the board. Essential reading for board members, CEOs, and senior human resources leaders from companies of every size, this book is the most authoritative reference on executive compensation.
We exploit a recent law change to examine the relation between corporate taxes and executive compensation. The “Tax Cuts and Jobs Act” (TCJA) lowered the corporate tax rate from 35 to 21 percent and repealed a long-standing exception that allowed companies to deduct executives' qualified performance-based compensation in excess of $1 million. These changes are effective for tax years beginning after December 31, 2017. Using a difference-in-differences design, we find no evidence that the average firm affected by the TCJA in their 2018 fiscal years changed compensation relative to control firms not subject to the new regime until their 2019 fiscal years. We find limited evidence of a reduction in total compensation among less than 10 percent of treated firms. We execute a battery of tests to validate these results. Overall, our findings suggest the tax benefits of executive compensation do not outweigh non-tax considerations when firms structure pay.