Forward-looking versus recursive-dynamic modeling in climate policy analysis: A comparison

This paper develops a multi-regional general equilibrium model for climate policy analysis based on the latest version of the MIT Emissions Prediction and Policy Analysis (EPPA) model. We develop two versions so that we can solve the model either as a fully inter-temporal optimization problem (forward-looking, perfect foresight) or recursively. The standard EPPA model on which these models are based is solved recursively, and it is necessary to simplify some aspects of it to make inter-temporal solution possible. The forward-looking capability allows one to better address economic and policy issues such as borrowing and banking of GHG allowances, efficiency implications of environmental tax recycling, endogenous depletion of fossil resources, international capital flows, and optimal emissions abatement paths among others. To evaluate the solution approaches, we benchmark each version to the same macroeconomic path, and then compare the behavior of the two versions under a climate policy that restricts greenhouse gas emissions. We find that the energy sector and CO₂ price behavior are similar in both versions (in the recursive version of the model we force the inter-temporal theoretical efficiency result that abatement through time should be allocated such that the CO₂ price rises at the interest rate.) The main difference that arises is that the macroeconomic costs are substantially lower in the forward-looking version of the model, since it allows consumption shifting as an additional avenue of adjustment to the policy. On the other hand, the simplifications required for solving the model as an optimization problem, such as dropping the full vintaging of the capital stock and fewer explicit technological options, likely have effects on the results. Moreover, inter-temporal optimization with perfect foresight poorly represents the real economy where agents face high levels of uncertainty that likely lead to higher costs than if they knew the future with certainty. We conclude that while the forward-looking model has value for some problems, the recursive model produces similar behavior in the energy sector and provides greater flexibility in the details of the system that can be represented.     

Metaheuristic-based simulation optimization approach to network revenue management with an improved self-adjusting bid price function

Making accurate accept/reject decisions on dynamically arriving customer requests for different combinations of resources is a challenging task under uncertainty of competitors' pricing strategies. Because customer demand may be affected by a competitor's pricing action, changes in customer interarrival times should also be considered in capacity control procedures. In this article, a simulation model is developed for a bid price–based capacity control problem of an airline network revenue management system by considering the uncertain nature of booking cancellations and competitors' pricing strategy. An improved bid price function is proposed by considering competitors' different pricing scenarios that occur with different probabilities and their effects on the customers' demands. The classical deterministic linear program (DLP) is reformulated to determine the initial base bid prices that are utilized as control parameters in the proposed self-adjusting bid price function. Furthermore, a simulation optimization approach is applied in order to determine the appropriate values of the coefficients in the bid price function. Different evolutionary computation techniques such as differential evolution (DE), particle swarm optimization (PSO), and seeker optimization algorithm (SOA), are utilized to determine these coefficients along with comparisons. The computational experiments show that promising results can be obtained by making use of the proposed metaheuristic-based simulation optimization approach.     

Lexicographic choice under variable capacity constraints

In several matching markets, to achieve diversity, agents' priorities are allowed to vary across an institution's available seats, and the institution is let to choose agents in a lexicographic fashion based on a predetermined ordering of the seats, called a (capacity-constrained) lexicographic choice rule. We provide a characterization of lexicographic choice rules and a characterization of deferred acceptance mechanisms that operate based on a lexicographic choice structure under variable capacity constraints. We discuss some implications for the Boston school choice system and show that our analysis can be helpful in applications to select among plausible choice rules.     

Differences in CEO compensation under large and small institutional ownership

I examine the influence of large and small institutional investors on different components of chief executive officer (CEO) compensation, using US data for 2006–2015. An increase in large institutional ownership reduces total pay and current incentive compensation (i.e., options, stocks, bonus pay), whereas small institutional investors lower long‐term incentive pay (i.e., pension, deferred pay, stock incentive pay). These findings are consistent with managerial agency theory and the substitution of incentive pay by institutional monitoring. The effects are stronger for higher ownership levels and firms with weak governance, less financial distress, long‐tenured CEOs, multiple segments, and more free cash flow.     

An extension to the classical mean–variance portfolio optimization model

Abstract

The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean–variance portfolio optimization model. We propose a new two-step heuristic approach, GRASP & SOLVER, that evaluates the desirability of an asset by combining several properties about it into a single parameter. Using a real-life data set, we conduct a simulation study to compare our solution to a benchmark (S&P 500 index). We find that our method generates solutions satisfying nearly all of the constraints within reasonable computational time (under an hour), at the expense of a 13% reduction in the annual return of the portfolio, highlighting the effect of introducing these practice-based constraints.     

Does internal board monitoring affect debt maturity?

Review of Quantitative Finance and Accounting - Using the Sarbanes–Oxley Act (SOX) as an exogenous shock to board structure, we identify internal monitoring via board independence and...     

Can board environmental orientation improve U.S. firms' carbon performance? The mediating role of carbon strategy

Overwhelming evidence from prior research suggests a positive association between corporate board characteristics and carbon performance; however, very little is known about the mechanisms linking the two variables. This study attempts to fill this gap by developing and empirically testing a conceptual model that highlights the role of carbon strategy in the relationship between board environmental orientation (BEO) and carbon performance. We argue that BEO can directly and indirectly influence carbon performance through carbon strategy. Using structural equation modelling to analyse data consisting of 2,301 U.S. firm‐year observations over the 2005–2015 period, we find that the greater the BEO is, the better its carbon performance (i.e., lower greenhouse gas emissions). The results also provide evidence of the mediating effect of carbon strategy on the relationship between BEO and carbon performance. Splitting the sample into high and low carbon‐intensive industries shows a partial mediation effect in high carbon‐intensive industries and a full mediation effect in low carbon‐intensive industries. The findings of the study and its implications for scholars, policymakers, managers, investors, and environmentalists are discussed.     

Reflections of associations and foundations’ applications in new media to increase the quality in disabled people’s lives

Associations and foundations (that support these associations) play a vital role in increasing the life quality of the society in general, and the disabled people in particular. Civil society organizations which place a significant emphasis on the society’s well-being play an active role both in the promotion of disabled people’s rights and the provision of equal opportunities for their active participation in social life. Disabled people represent a disadvantaged group in the society because they experience disadvantages in economic and social life. This study focuses on new media usage of nonprofit oriented associations that are established to support disabled people in Northern Cyprus as a developing country. The content analysis as a quantitative research methodology is used to analyze the Disabled Associations’ and some foundations’ web sites and their official Facebook pages to interpret their identities, their way of communication and their social responsibility projects for increasing the quality of life of disabled people and raising public awareness on disabled people’s rights.

     

Systematic risk and the cross section of hedge fund returns

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross-sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund-specific or residual risk components. Contrary to the popular understanding that hedge funds are market neutral, we find that systematic risk is a highly significant factor explaining the dispersion of cross-sectional returns while at the same time measures of residual risk and tail risk seem to have little explanatory power. Funds in the highest SR quintile generate 6% more average annual returns compared with funds in the lowest SR quintile. After controlling for a large set of fund characteristics and risk factors, systematic risk remains positive and highly significant, whereas the relation between residual risk and future fund returns continues to be insignificant. Hence, systematic risk is a powerful determinant of the cross-sectional differences in hedge fund returns.     

Contractual relationships in family firms： An agency theory interpretation from a managerial perspective

This study examines the contractual relationships from a managerial point of view by a sample of 55 family firms in an industrial zone in Turkey. The results show that the type of contract （i.e., behavior or outcome-based） is not affected by a professional manager＇s tenure, position and his/her education level. It is also presented that the type of contract does empirically not have a relationship with information asymmetry and risk taking/uncertainty in a family firm setting. Furthermore, its relationship to goal conflict and job complexity is weak and negative, which necessarily means that any increase in goal conflict or job complexity requires an outcome-based contract to be written between an owner and a professional manager. Yet, only goal conflict is significant in explaining the type of contract. From the managerial perspective, these findings imply that the agency theory is not suitable for relatively small family firms.