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.     

Does the bond‐stock earnings yield differential model predict equity market corrections better than high P/E models?

We extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a statistical significance test for crash prediction models. Finally, we propose a definition and a measure of robustness for these models. We apply our statistical test and measure the robustness of selected model specifications of the Price‐Earnings (P/E) ratio and Bond Stock Earning Yield Differential (BSEYD) measures. This analysis shows that the BSEYD and P/E ratios, were statistically significant robust predictors of corrections on the US equity market over the period 1964 to 2014.     

Disciplina de mercado en el sistema bancario centroamericano

This article empirically tests the market discipline hypothesis in the Central American banking system. Whether the riskier banks (with the worst bank fundamentals) pay higher interest rates and attract fewer amounts of deposits. We use dynamic panel data models and the generalized method of moments (SYS GMM) estimator, and a sample of 30 banks from six Central American countries over the years 2008-2012. In contrast to most of the previous empirical literature, particularly in developed countries, in Central America we did not find evidence for market discipline. The results are robust to different indicators of the bank fundamentals, to the effect of the internal demand for funding by banks, and to other econometric methods. These findings indicate weakness in the disclosure policy of banking information.     

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.     

Intraday pairs trading strategies on high frequency data: the case of oil companies

This paper introduces novel ‘doubly mean-reverting’ processes based on conditional modelling of model spreads between pairs of stocks. Intraday trading strategies using high frequency data are proposed based on the model. This model framework and the strategies are designed to capture ‘local’ market inefficiencies that are elusive for traditional pairs trading strategies with daily data. Results from real data back-testing for two periods show remarkable returns, even accounting for transaction costs, with annualized Sharpe ratios of 3.9 and 7.2 over the periods June 2013–April 2015 and 2008, respectively. By choosing the particular sector of oil companies, we also confirm the observation that the commodity price is the main driver of the share prices of commodity-producing companies at times of spikes in the related commodity market.     

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.     

The end of growth in residential tourism destinations: steady state or sustainable development? The case of Calpe

This article discusses how the slowdown in the real estate market during the most recent economic and financial crisis has affected residential tourism destinations on the Spanish coast. The afore-mentioned crisis, which gave rise to a standstill in residential activity, coincided with the turbulences experienced in the competing destinations of Northern Africa, which brought about a record number of international tourist arrivals to Spain. The resulting situation enables us to explore the future scenario of all the Spanish destinations that, due to the depletion of available land, are reaching their maximum levels of urban growth. Examining the case of Calpe, a destination which is representative of the Spanish Mediterranean, the study analyses whether the foreseeable dynamics for the future are conceptualized in the favourable terms that characterize “sustainable development” or, on the contrary, exhibit negative implications which the classic economists refer to as the “steady state”.     

Profiling tourists based on their perceptions of the trustworthiness of different types of peer-to-peer applications

This research profiles tourists based on the extent to which they trust user-generated content (UGC) uploaded in different types of peer-to-peer applications, also considering their socio-demographic characteristics, frequency of travel and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 609 Italian tourists and three different clusters were identified, namely: “distrustful tourists”, “untrusted tourists” and “social web tourists”. The findings suggest that hospitality marketers should improve their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioural characteristics of their target market.