The Impact of Fraudulent False Information on Equity Values

There are two types of stock price manipulation examined in the theoretical literature: (1) insider trading, which involves private information that is true and (2) the public spreading of fraudulent false information. While there is a large empirical literature on insider trading, this is the first empirical article to examine the impact of false, fraudulent public information on stock prices and trading volume. We find that such false information, even after being denied by a credible source such as the SEC, generates both abnormal returns and abnormal trading volume. We also find that the effects of the false information on security returns and volume can be persistent for at least 2 weeks. In addition, we show that perpetrators of false news attacks can make potentially large profits from such market manipulations.     

How should Central Banks determine and control their bank note inventory?

This paper looks at a relatively unresearched but important area in money and banking – namely the provision of currency by the Central Bank. One of the most important functions of Central Banking is the provision of liquidity to the economy. However, in fulfilling this function, Central Banks have to be prepared for unexpected money demand shocks as well as production, transportation and cost of capital constraints. The paper develops a dynamic cost minimizing note inventory model that solves for the Central Bank’s optimal note order size and frequency. As part of the modeling exercise a value at risk model is used to solve for an inventory “cushion.”     

The cross-section of dynamics in idiosyncratic risk

This paper investigates change in idiosyncratic volatility estimated by individual security. We find that a significant portion of securities contains long periods of increasing or decreasing idiosyncratic risk. The series of idiosyncratic risk though are unlikely to have a life-long deterministic trend, and can be often characterized by a long memory process. Our evidence suggests that the proportions of securities with rising and declining risk continuously change, which in turn affects fluctuations of the market average. This evidence implies that an average idiosyncratic risk may not be a good representative of the dynamics in risk of a given security. We demonstrate that the companies with an increasing idiosyncratic risk tend to have deteriorating performance, and investigate factors behind these empirical observations.     

The cost of being late? The case of credit card penalty fees

This paper is the first in the literature to examine the determinants of US credit card penalty fees. Many critics of credit card fees – including a number of US Senators – have argued that credit card penalty fees reflect banks’ market share. Using a unique data set we find that fees are increasing in customer risk which supports the position of defenders of penalty fees, such as banks. However, our finding that fees are increasing in a bank's market share is consistent with the concerns expressed by politicians and regulators. We also find card penalty fees are direct substitutes for card interest rates.     

Return on Quality Improvements in Search Engine Marketing

In search engine marketing, such as on Google, advertisements' ranking and prices paid per click result from generalized, second-price, sealed bid auctions that weight the submitted bids for each keyword by the quality of an advertisement. Conventional wisdom suggests that advertisers can only benefit from improving their advertisement's quality. With an empirical study, this article shows that quality improvements have complex effects whose returns are actually unclear: 5% of all quality improvements to an advertisement lead to higher prices (measured by price per click) per keyword, 100% to a higher number of clicks, 53% to higher costs for search engine marketing, and 37% to lower profits. Quality improvements lead to higher weighted bids, which only lower prices if they do not improve the ranking of the advertisement. Otherwise, better ranks likely lead to higher prices. A decomposition method can disentangle these effects and explain their effects on search engine marketing costs and profits. Finally, the results indicate that advertisers benefit if they lower their bids after improvements to advertising quality.     

Environmental evaluation of agri-environment schemes using participatory approaches: Experiences of testing the Agri-Environmental Footprint Index

The Agri-Environment Footprint Index (AFI) has been developed as a generic methodology to assess changes in the overall environmental impacts from agriculture at the farm level and to assist in the evaluation of European agri-environmental schemes (AES). The methodology is based on multi-criteria analysis (MCA) and involves stakeholder participation to provide a locally customised evaluation based on weighted environmental indicators. The methodology was subjected to a feasibility assessment in a series of case studies across the EU. The AFI approach was able to measure significant differences in environmental status between farms that participated in an AES and non-participants. Wider environmental concerns, beyond the scheme objectives, were also considered in some case studies and the benefits for identification of unintentional (and often beneficial) impacts of AESs are presented. The participatory approach to AES evaluation proved efficient in different environments and administrative contexts. The approach proved to be appropriate for environmental evaluation of complex agri-environment systems and can complement any evaluation conducted under the Common Monitoring and Evaluation Framework. The applicability of the AFI in routine monitoring of AES impacts and in providing feedback to improve policy design is discussed.     

Matching, search and intermediation with two-sided heterogeneity

This paper analyzes the role played by intermediation in a decentralized market, where trade is carried out through bilateral bargaining, and where the bargaining outcome depends on the process of search for suitable trading partners. To this purpose, a monopolistic intermediary is embedded in a dynamic model of random-matching and two-sided search with heterogeneous agents. It is shown that intermediation might speed up the matching process and might induce separation of the agents’ types, thus enhancing sorting efficiency with respect to a pure search market, where sorting externalities cause multiplicity of equilibria to arise and determine inefficient matching outcomes. Nonetheless, intermediation might also introduce frictions that do not exist in a decentralized market operating in isolation, and this impairs efficiency.      

Inbound open innovation in biopharmaceutical firms: unpacking the role of absorptive capacity

In this study, we extend recent attempts to clarify the role of antecedents of absorptive capacity in realising purposive inflows of external knowledge in the biopharmaceutical industry. By assuming that internal R&D resources contribute to absorptive capacity as a multidimensional concept, we propose a framework for the integrated analysis of the interactions between the different antecedents of absorptive capacity and inbound open innovation of biopharmaceutical firms. Our analysis relies on a set-theoretic approach and uses fuzzy-set qualitative comparative analysis (fsQCA) to study a set of selected Italian biopharmaceutical firms. The analysis reveals that biopharmaceutical companies with a diversified R&D business domain and an extended entrepreneurial scientific network are likely to adopt an inbound open innovation strategy.