Market sentiment: a key factor of investors’ imitative behaviour

The aim of this paper is to explore herding behaviour among investors to determine its rational and emotional component factors and identify relationships among them. We apply causality tests to evaluate the impact of return and market sentiment on herding intensity. The herding intensity is quantified using the measure developed by Patterson and Sharma (2006) . The research was conducted during the period 1997–2003 in the Spanish stock market, where the presence of herding has been confirmed. The results reveal that the herding intensity depends on past returns and sentiment or subjective assessments and confirm the presence of both a rational and an emotional factor.     

Cross‐selling in the US home video industry

We identify significant cross‐selling effects in the home video industry: a 10% increase in the demand for a studio's old titles leads to a 4.7% increase in new title sales. We argue this is due to supply‐side effects: studios with strong titles are better able to “push” other titles through retailers; and the latter “push” these additional supplies to consumers by means of lower prices and/or heavier advertising. Our strategy for identifying causality is based on “star power” effects: increases in old movie demand caused by recent success of movies with a similar cast and/or director.     

When and Where Are Informed Traders? What Is Their Relationship with Analysts in the Price Discovery Process?

The authors' aim was to analyze the influence of analysts' recommendations on the activity of informed and uninformed traders and whether such influence produces changes in the price discovery process. The analysis was carried out in the Spanish market, considered to be an ideal market given its characteristics. The authors' results indicate that although investors as a whole react to new information from analysts and their activity increases, this reaction is not independent of the type of stock. Informed traders do not increase their activity with small stocks to the same extent as uninformed investors do. Furthermore, the influence of these movements on price discovery is not significant. The results suggest that the interpretation role of analysts is more important for less accessible firms in terms of assessing their growth opportunities. This role may enhance the herding behavior of uninformed agents trading in those small titles for which they would otherwise need to invest extra time and extra money for taking profitable decisions.     

The Information Environment,Informed Trading,and Volatility

The relation between informed trading and volatility is analyzed using the change in the proportion of informed transactions calculated through the probability of informed trading variable. The analysis relates to the Spanish market during 1997–2010, given that the Spanish market covers a very diverse range of listed companies. Some companies are comparable to companies listed on U.S. markets while others are smaller in size and have a lower trading volume and inferior quality of information. The methodology is based on a modification of the model proposed by Avramov, Chordia, and Goyal [2006 Avramov, D., T. Chordia, and A. Goyal. “The Impact of Trades on Daily Volatility.” Review of Financial Studies, 19, (2006), pp. 1241–1277.[Crossref], [Web of Science ®] , [Google Scholar]]. The authors’ proposal incorporates the change in the proportion of informed transactions, calculated with intraday data, into the volatility model. The results are also presented using a conditional volatility model in which the change in the proportion of informed transactions is incorporated. These results attest to the influence of informed trading as a price-stabilizing factor in heavily traded and highly capitalized stocks (familiar stocks). Informed trading leads to a marked decrease in volatility for these particular stocks both in periods of calm and crisis.     

Quotas,Productivity, and Prices: The Case of Anchovy Fishing

I exploit a 2009 reform that introduced individual fishing quotas (catch shares) for Peruvian anchovy—the largest fishery in the world—to assess the causal impact of production quotas on within‐firm productivity and market prices. Unique features of the data allow me to create two alternative counterfactuals: (i) anchovy fishing operations in a region of the country that was mandated to implement quotas with a delay, and (ii) variation in quota allocations across ships. I find that quotas do not increase within‐asset or within‐firm productivity in quantities. Instead, a 200% increase in anchovy prices benefits extraction firms through higher revenues, consistent with two mechanisms enacted by individual fishing quotas: more orderly industry operations reducing excess supply and an increase in bargaining power of extraction firms with respect to fish‐processing. Several market characteristics across geographies differentially affect market prices after the quota regime. Supplementary evidence on fewer operational infractions, higher product quality, and a lower banking delinquency observed during the quota regime suggests the existence of efficiency gains rather than purely rent transfers.     

Designing experiences strategically

Companies willing to enter into the experience economy have available procedures for experience design and evaluation but not for strategic decision-making on what experiences to incorporate into their offering. This study presents a procedure for identifying experiences and for assessing their customer value. The fieldwork consists of a logbook technique for experience identification and their subsequent strategic assessment considering people's perceptions of the influence each experience has in their quality-of-life, their interest in living each experience, and their previous knowledge of each experience. The paper focuses on experiences related to environmental design. In that setting, the procedure led to the identification of 13 different experiences. A clustering analysis identified six groups of experiences accordingly to the perception of 142 persons interviewed: experiences that have a ready market, experiences with a market to captivate, experiences with a potential market, experiences indifferent for a given market, experiences with lost clients and experiences that need a better adjustment to the market.     

Movie release strategy: Theory and evidence from international distribution

Choosing the right time to release a new movie may be the difference between success and failure. Prior research states that the “bigger” a blockbuster is, the more likely it is (and should be) released during a high‐demand week. We present a theoretical framework which is consistent with this observation but adds a rather surprising theoretical prediction: among non‐blockbuster (i.e., niche) movies, everything else constant, the greater a movie's appeal, the more likely it is released during a low‐demand week. In other words, the relation between movie appeal and high‐demand‐week release is U‐shaped: it decreases at low levels of overall appeal (niche movies) and increases at high levels of overall appeal (blockbusters). We provide intuition for this novel result and argue that it is robust to a number of changes in functional form assumptions. We then show that the theoretical results are consistent with the evidence from an extensive data set on international releases. Specifically, we run a series of movie‐country‐pair regressions with high‐demand‐week‐release as a dependent variable and exogenous shocks to the movie's appeal as an explanatory variable. As predicted by theory, the regression coefficients have opposite signs for the blockbuster and non‐blockbuster cases.     

Analysts herding: when does sentiment matter?

Herding among analysts emerges when analysts give priority to their peers’ opinions instead of their own beliefs or information. Some circumstances may enhance or restrain this type of behaviour. We postulate that market sentiment is one of them. This article analyses the effect that investor sentiment may have on analysts’ herding behaviour in the U.K. Our results suggest that ‘easy situations’ such as analysing easy-to-value securities and releasing optimistic information at times of high market sentiment clearly reduce herding practices, whereas herding clearly increases in difficult situations when analysts have to release negative information at moments of high investor sentiment.     

Does informed trading occur in the options market? Some revealing clues

This paper analyses the relationship between proxy variables for informed trading in the options market and a set of exogenous news variables. The aim was to test directly for the presence or absence of informed trading in the options market and for the possible impact of this trading on underlying asset prices. Our findings reveal that potential informed trading in options markets is channelled basically through out‐of‐the‐money options, except for volatility trading which mainly involves at‐the‐money options because of their liquidity. In both cases, we have found evidence in favour of investors’ strategic fragmentation of transactions into intermediate size trades (stealth trading). Finally, it is shown that lack of consensus among agents also generates increased trading, particularly in out‐of‐the‐money and at‐the‐money options.     

Multidivisional Strategy and Investment Returns

This paper studies the influence of multidivisional structure on investment returns using a large database of projects in the U.S. film distribution industry, a setting in which divisionalization exists without horizontal diversification—all divisions of multidivisional distributors release feature films. The findings are consistent with a positive effect of multidivisional strategy on investment returns, even if total investment need not increase. Multidivisional strategies are more consequential for higher profitability when firms share key human talent across their divisions.