A semiparametric estimation of liquidity effects on option pricing

Abstract. This paper proposes a semiparametric option pricing model with liquidity, as proxied by the relative bid-ask spread. A nonparametric volatility function with liquidity costs as an explanatory variable is estimated using the Symmetrized Nearest Neighbors (SNN) estimator rather than the traditional kernel estimator. The SNN estimator is particularly suitable for the characteristics of option data in financial markets. Moreover, we propose a natural extension of the univariate bandwidth parameter optimal estimation to the multivariate case. A statistical design to test competing option pricing models which takes into account the lack of independence between them is also presented. The in-sample performance of the model turns out to be statistically favorable relative to the competing model without liquidity. Also, an additional experiment is performed within sample, but with just a subsample of options not employed in the nonparametric estimation of the implied volatility function being priced. The results are also favorable to our semiparametic theoretical option pricing model with liquidity. However, the out-of-sample performance is quite disappointing regardless of what option pricing model is employed in the estimation. Eva Ferreira and Gonzalo Rubio acknowledge the financial support provided by Dirección Interministerial Científica y Técnica (DGICYT) grants PB98-0149 and PB97-0621 respectively. All three authors aknowledge the financial support provided by Universidad del País Vasco (UPV/EHU) grant UPV 038.321-HA129/99, and the BSI Gamma Foundation. We appreciate the helpful comments of two anonymous referees, ángel León, José M. Campa, Fernando Tusell and Javier Fernández Navas, seminar participants at the Bank of Spain and the European Financial Management Association (Athens), and the computational assistance of Gregorio Serna. We thank Juan Ayuso and MEFF for providing the data used in this article. The contents of this paper are the sole responsability of the authors.     

Authenticity: is it real or is it marketing?

Marty Echt, the new head of marketing at Hunsk Engines, is determined to bring the motorcycle maker back to its roots. He says it's not enough to project authenticity to customers--employees must personally subscribe to the brand's values. Should the company's CEO support Marty's "real deal" vision? Five experts comment on this fictional case study. Bruce Weindruch, the founder and CEO of the History Factory, says that an authenticity-based campaign can be effective--but only if it's truly drawn from history. Marketers like Marty often remember their organization's past in a golden haze. Weindruch recommends exploring old engineering drawings, ads, and product photos in order to understand what customers and employees really valued back in the day. Gillian Arnold, a consultant to luxury fashion and fine jewelry brands, thinks Marty's approach is right: People in key marketing posts must be passionate about their products and know them inside and out. She argues that the CEO needs to commit more fully to the new campaign and address the significant gap between the staff and the brand. James H. Gilmore and B. Joseph Pine II, the cofounders of Strategic Horizons, point out that Hunsk needs to manage customers' perceptions rather than trying to be a "real company" or forming a management team whose personal interests match the brand. People purchase a product if it conforms to their self-image; that alone determines the brand's authenticity. Glenn Brackett of Sweetgrass Rods, a maker of bamboo fly-fishing rods, says Marty seems to be one of the few people who understand Hunsk motorcycles. If employees bring blood, sweat, heart, and soul to a product, it will manifest that spirit, and customers will line up for it.     

Barycentric algorithm for computing D-optimal size- and cost-constrained designs of experiments

In this paper, we study the problem of D-optimal experimental design under two linear constraints, which can be interpreted as simultaneous restrictions on the size and on the cost of the experiment. For computing a size- and cost-constrained approximate D-optimal design, we propose a specification of the “barycentric” multiplicative algorithm with sequential removal of redundant design points. We analytically prove convergence results for the proposed algorithm and numerically demonstrate its favorable properties compared to competing methods.     

Maximum an Mundhygiene

Mund- und Zahnpflege – darauf kommt es an - Vor allem schwer pflegebedürftige Patienten sind bei der Mundhygiene auf professionelle Unterstützung angewiesen. Bezüglich der notwendigen und sinnvollen Ma?nahmen gibt es jedoch viele Unsicherheiten.     

Macroeconomic implications of financial policy

This paper studies the effects of financial policy in a model with heterogeneous agents, incomplete markets and portfolio restrictions. For an economy calibrated to replicate key aspects of the U.S. wealth distribution, we find that the quantitative effects of financial policy are relatively small. The reason is that the households determining aggregate behavior are relatively well insured and can therefore offset the actions of the firm by modifying their portfolio allocations. However, financial policy has important effects on asset prices. Whereas a higher level of debt in the capital structure of the firm introduces more risk into the economy by increasing the volatility of the equity return, it enhances the liquidity of households by increasing the supply of bonds. In an economy with a substantial amount of heterogeneity, this last effect dominates and leverage leads to a decrease in the equity premium. This is in contrast to the findings in representative agent models, in which leverage unambiguously increases the premium through a higher equity return volatility.     

Knowledge codification and technological innovation success: Empirical evidence from Spanish biotech companies

This paper analyzes the influence of knowledge codification on technological innovation in a sample of Spanish firms from the biotechnology sector. It tests how codification affects firms' development of incremental and radical innovations and their attempts to keep their investments exclusive by building barriers to imitation and to substitution. The work also considers the incorporation of legal protection measures. The results show, on the one hand, that knowledge codification is only beneficial for developing incremental innovations and, on the other, that firms must incorporate systems of legal protection into their codification practices if they want to keep their innovations exclusive.     

Public versus private ownership: Quantity contracts and the allocation of investment tasks

The government wants a certain good or service to be provided. Should the required assets be publicly or privately owned or should a partnership be formed? Building on the incomplete contracting approach, we argue that the initially specified quantity of an ex ante describable basic good can have important effects on investment incentives, which has been neglected in the literature so far. We also study how the tasks of investing in quality improvements and cost reductions should be assigned. We show how the optimal contracts and governance structures depend on the exogenous parameters of the model such as the nature of the investments and the parties' bargaining powers.     

Corporate ownership and managerial short-termism: Results from a Finnish study of management perceptions

Increased media exposure to layoffs and corporate quarterly financial reporting have created arguable a common perception—especially favored by the media itself—that the companies have been forced to improve their financial performance from quarter to quarter. Academically, the relevant question is whether companies themselves feel that they are exposed to short-term pressure to perform even if it means that they have to compromise company's long-term future. This paper studies this issue using results from a survey conducted among the 500 largest companies in Finland. The results indicate that companies in general feel moderate short-term pressure, with reasonable dispersion across firms. There seems to be a link between the degree of pressure felt, and the firm's ownership structure, i.e. we find some support for the existence of potentially short-term versus long-term owners. We also find significant ownership related differences, in line with expectations, in how such short-term pressure is reflected in actual decision variables such as the investment criteria used.     

Organizational performance with a broader focus: The case for a stakeholder approach to leadership

In 2019, BlackRock CEO Larry Fink, Apple CEO Tim Cook, and the other 179 CEO members of the Business Roundtable argued that the purpose of a corporation must reflect not only the fiduciary interests of owners but also the varied interests of all stakeholders: employees, customers, partners, and broader society. This idea challenges a decades-old norm of shareholder primacy, so it is reasonable for organizational leaders to wonder whether doing so is truly in their firms’ best interests, and if so, how to implement this approach to leadership. To answer these questions, we draw on over 200 peer-reviewed articles covering leadership research to demonstrate how servant leadership, a stakeholder-focused approach to management, outperforms other leadership approaches across both shareholder and stakeholder criteria. We leverage case studies of organizational leaders from SAS, Zappos, Starbucks, and Jason’s Deli, financially successful organizations that exemplify how managers provide value and sustainability to stakeholders and shareholders through servant leadership. We also include practical steps managers can take to begin putting this form of leadership into practice.