Are firms accessing venture funding more financially constrained? New evidence from capital structure adjustments

We analyze whether firms that receive venture capital (VC) at a later date face more financial constraints than a one-by-one matched sample of firms that did not receive VC funding (control group). The aim is to check whether their financial flexibility explains why they decide to seek external equity funding. In contrast with other papers, which focus on the sensitivity of investments to cash flow, we study this issue by applying a dynamic model to analyze the speed of adjustment to their target debt levels prior to receiving the first VC investment. We analyze a representative sample of 237 Spanish unlisted firms that received VC between 1995 and 2007 and its corresponding control group. We find that firms that receive VC funding show a significantly lower speed of adjustment than their matched peers before the initial VC round. It seems that the former are more concerned about funding the required investments than about adjusting the firm's debt ratio to a target level. Our results confirm the role of VC in filling the equity gap in constrained unlisted firms. From a capital structure perspective, VC may become a tool for these companies to balance their capital structure in a growth process.     

On an efficient multiple time step Monte Carlo simulation of the SABR model

In this paper, we will present a multiple time step Monte Carlo simulation technique for pricing options under the Stochastic Alpha Beta Rho model. The proposed method is an extension of the one time step Monte Carlo method that we proposed in an accompanying paper Leitao et al. [Appl. Math. Comput. 2017, 293, 461–479], for pricing European options in the context of the model calibration. A highly efficient method results, with many very interesting and nontrivial components, like Fourier inversion for the sum of log-normals, stochastic collocation, Gumbel copula, correlation approximation, that are not yet seen in combination within a Monte Carlo simulation. The present multiple time step Monte Carlo method is especially useful for long-term options and for exotic options.     

The Return Performance of Cubic Market Model: An Application to Emerging Markets

This article studies the performance of the high-order moment capital asset pricing model (CAPM) market models in emerging markets. We apply the cubic market model (4-moment CAPM) to 16 emerging market stock indices ranging from January 2010 to September 2015. Performance of the model is evaluated through the Fama and MacBeth’s two-step regression and through different corrections proposed in the literature, as well as generalized method of moments (GMM) estimation. According to Fama–MacBeth’s procedure, CAPM, the quadratic and cubic market models seem to be insignificant for the analyzed sample; however, the GMM estimation shows that quadratic model is valid for Indian, Polish, and Thai country indices, whereas cubic market model is accurate for Indian country index.     

Can Investors Identify Managerial Discretion in Corporate Social Responsibility Practices? The Moderate Role of Investor Protection

This paper analyses investors’ ability to identify if managers use corporate social responsibility as an entrenchment practice to conceal the risk of dismissal associated with managerial discretion and if this detection is determined by the level of investor protection orientation. Results based on an international database of 1949 companies show that investors and markets do not identify managerial entrenchment based on the promotion of sustainable practices, except when such entrenchment is developed by companies located in countries with strong investor protection. In these countries, investors identify and penalise such companies with lower financial performance.     

When do managers listen to the market? Impact of learning in acquisitions of private firms

We study the influence of market signals and agency problems on the decision to cancel an announced acquisition. We find major differences between deals involving private vs. public targets. First, controlling for the value of expected synergies, acquisitions are less likely to be cancelled when the target is private rather than public. This finding supports learning rather than the alternative common-information hypothesis. Second, better manager-shareholder interest alignment makes the cancellation of a “bad” deal more likely only when the target is a private firm. This suggests bidder agency problems have a greater influence on acquisition outcome (i.e., learning) when the target is private. Third, cancellation is more likely for private targets when their post-announcement abnormal returns are low, especially if the method of payment includes stock. This indicates that it is important to control for bidder overvaluation when testing the managerial learning hypothesis. Overall, both the learning and agency hypotheses help explain observed differences in deal completion by target type.     

The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.     

The Recognition of Goodwill and Other Intangible Assets in Business Combinations – The Portuguese Case

In this study, we investigate the magnitude of goodwill recognised in business combinations during the years 2005 to 2009 by the Portuguese companies listed on Euronext Lisbon, and characterise the amount of the other intangible assets recognised separately from goodwill. We also analyse the level of compliance of those companies with the main disclosure requirements of International Financial Reporting Standard (IFRS) 3 – Business Combinations. Our study, which involves the analysis of 197 business combinations, reveals that the amounts of goodwill continue to be highly material, while conversely, the value of identifiable intangible assets in those acquisitions is very low. The results suggest that Portuguese companies do not undertake sufficient efforts to individually identify and disclose intangibles acquired in business combinations. This fact is reinforced by the reduced level of compliance with the disclosures required by IFRS 3, particularly the factors that contribute to the recognition of goodwill. Our findings provide feedback to standard setters in an effort to improve practice in the application of IFRS 3. Moreover, they reinforce their recent concerns regarding the post‐implementation review of business combinations, as well as the ongoing project of the IASB, whose objective is to improve disclosures in existing standards.     

Migration Flows and Intra-Industry Trade Adjustments

In this paper we analyse the link between trade and migration. Focusing on the experience of Spain, we relate a marginal index of intra-industry trade to the stock of foreign workers—classified according to their country of origin and their situation in the Spanish labour market. We focus on the possibility that existing networks of foreign workers and their connections with their countries of origin could stimulate trade with the host country. Our results show a significant impact of the number of immigrants with work permits on intra-industry trade adjustment. However, this impact being positive or negative depends on whether foreign workers are employees or self-employed, the duration of the work permits and the type of job they occupy. JEL no. F10, F14, F15, F22     

In Good Company: When Small and Medium‐Sized Enterprises Acquire Multiplex Knowledge from Key Commercial Partners

This study explores the specific conditions under which key strategic alliances of small and medium‐sized enterprises (SMEs) with commercial partners can become multiplex in knowledge exchange. Using survey data from a sample of 150 Spanish SMEs in the information and communication technology (ICT) industry, we find that trust creates an appropriate context for the concurrent acquisition of technological, market, and managerial knowledge. When the SME and its key commercial partner exhibit significant strategic, technological, and market differences, however, the SME's ability to acquire different types of knowledge diminishes considerably, reducing the positive impact of trust on knowledge multiplexity.