BibSonomyburst/user/enterldestodesBibSonomy RSS feed for /user/enterldestodes2012-02-16T05:29:17+01:00http://www.bibsonomy.org/bibtex/2c5e8b09c2a1038acdfc08c34f8ce3481/enterldestodesenterldestodes2010-01-29T10:35:16+01:00consideration_set <span class="authorEditorList"><a href="/author/Howard">John A. Howard</a>, and <a href="/author/Sheth">Jagdish N. Sheth</a> </span><em>The Wiley marketing series </em><em>Wiley, </em><em>New York, NY u.a., </em>(<em>1969</em>)Fri Jan 29 10:35:16 CET 2010New York, NY [u.a.]The Wiley marketing seriesThe theory of buyer behavior1969consideration_set http://www.bibsonomy.org/bibtex/229a35a108c5f16fde9e90d6b557f04e6/enterldestodesenterldestodes2010-01-26T11:59:17+01:00imported <span class="authorEditorList"><a href="/author/Parlar">Mahmut Parlar</a>, <a href="/author/Perry">David Perry</a>, and <a href="/author/Stadje">Wolfgang Stadje</a> </span><em>Stochastic Models</em> (<em>2007</em>)Tue Jan 26 11:59:17 CET 2010Taylor & FrancisStochastic Models351 - 3713Optimal Shopping When the Sales Are on—a Markovian Full-Information Best-Choice Problem232007imported http://www.bibsonomy.org/bibtex/294e7a5cc089982910d2038f0b3b684dc/enterldestodesenterldestodes2010-01-14T13:36:45+01:00<span class="authorEditorList"><a href="/author/Yang">Mark C. K. Yang</a> </span><em>Journal of Applied Probability</em> <em>11(3):504--512</em> (<em>1974</em>)Thu Jan 14 13:36:45 CET 2010Journal of Applied Probability3504--512Recognizing the Maximum of a Random Sequence Based on Relative Rank with Backward Solicitation111974The classical secretary problem is generalized to admit stochastically successful procurement of previous interviewees, but each has a certain probability of refusing the offer. A general formula for solving this problem is obtained. Two special cases: constant probability of refusing and geometric probability of refusing are discussed in detail. The optimal stopping rules in these two cases turn out to be simple.http://www.bibsonomy.org/bibtex/26efe46c3de7e60ab8037fd56a7c3bb5d/enterldestodesenterldestodes2010-01-14T13:36:44+01:00<span class="authorEditorList"><a href="/author/Shugan">Steven M. Shugan</a> </span><em>The Journal of Consumer Research</em> <em>7(2):99--111</em> (<em>1980</em>)Thu Jan 14 13:36:44 CET 2010The Journal of Consumer Research299--111The Cost of Thinking71980A theory and methodology are developed for explicitly considering the cost of comparing diverse choice alternatives. The theory allows (1) explicit analytical measures of the cost of using various simplified decision strategies, and (2) predictions regarding the distribution of mistakes a consumer is likely to make when reducing decision-making effort.http://www.bibsonomy.org/bibtex/2c752cfc60f99373efa401a24277bd979/enterldestodesenterldestodes2010-01-14T13:36:44+01:00sexualselection <span class="authorEditorList"><a href="/author/Miller">Geoffrey F. Miller</a>, and <a href="/author/Todd">Peter M. Todd</a> </span><em>Trends in Cognitive Sciences</em> <em>2(5):190 - 198</em> (<em>1998</em>)Thu Jan 14 13:36:44 CET 2010Trends in Cognitive Sciences5190 - 198Mate choice turns cognitive21998sexualselection Evolutionary psychology has revolutionized research on human mate choice and sexual attraction in recent years, combining a rigorous Darwinian framework based on sexual selection theory with a loosely cognitivist orientation to task analysis and mechanism modelling. This hard Darwinian, soft computational approach has been most successful at revealing the adaptive logic behind physical beauty, demonstrating that many sexual cues computed from face and body shape are not arbitrary, but function as reliable indicators of phenotypic and genetic quality. The same approach could be extended from physical to psychological cues if evolutionary psychology built stronger ties with personality psychology, psychometrics and behavioral genetics. A major challenge for mate choice research is to develop more explicit computational models at three levels, specifying: (1) the perceptual adaptations that register sexual cues given sensory input, (2) the judgment adaptations that integrate multiple cues into assessments of overall attractiveness, and (3) the search strategies that people follow in trying to form mutually attracted pairs. We describe both recent efforts and possible extensions in these directions. The resulting confluence between evolutionary principles, cognitive models and game-theoretic insights can put mate choice research at the vanguard of an emerging [`]evolutionary cognitive science' more concerned with domain-specific mental adaptations than with domain-general intelligence.http://www.bibsonomy.org/bibtex/2a6aced5fbc31e20542db3ea01edb874e/enterldestodesenterldestodes2010-01-14T13:36:38+01:00<span class="authorEditorList"><a href="/author/Egloff">Daniel Egloff</a> </span><em>The Annals of Applied Probability</em> <em>15(2):1396--1432</em> (<em>2005</em>)Thu Jan 14 13:36:38 CET 2010The Annals of Applied Probability21396--1432Monte Carlo Algorithms for Optimal Stopping and Statistical Learning152005We extend the Longstaff-Schwartz algorithm for approximately solving optimal stopping problems on high-dimensional state spaces. We reformulate the optimal stopping problem for Markov processes in discrete time as a generalized statistical learning problem. Within this setup we apply deviation inequalities for suprema of empirical processes to derive consistency criteria, and to estimate the convergence rate and sample complexity. Our results strengthen and extend earlier results obtained by Clément, Lamberton and Protter [Finance and Stochastics 6 (2002) 449-471].http://www.bibsonomy.org/bibtex/2e1ad1f92d684bb0d21cb4bb7fa55fbc1/enterldestodesenterldestodes2010-01-14T13:36:37+01:00<span class="authorEditorList"><a href="/author/Bearden">J. Neil Bearden</a>, and <a href="/author/Murphy">Ryan O. Murphy</a> </span> (<em>2000</em>)Thu Jan 14 13:36:37 CET 2010On Generalized Secretary Problems2000http://www.bibsonomy.org/bibtex/2bdd2066734c03830aecf9b4b2210e010/enterldestodesenterldestodes2010-01-14T09:19:00+01:00<span class="authorEditorList"><a href="/author/Freeman">P. R. Freeman</a> </span><em>International Statistical Review / Revue Internationale de Statistique</em> <em>51(2):189--206</em> (<em>1983</em>)Thu Jan 14 09:19:00 CET 2010International Statistical Review / Revue Internationale de Statistique2189--206The Secretary Problem and Its Extensions: A Review511983The development of what has come to be known as the secretary problem is traced from its origins in the early 1960's. All published work to date on the problem and its extensions is reviewed. /// Ce resume trace le developpement des son origine pendant la premiere periode des annees 60 de ce qu'on appelle le probleme du secretaire. Il passe en revue tous les travaux sur ce probleme et ses extensions qui ont deja ete publies.http://www.bibsonomy.org/bibtex/21f22460f983c2c5e0398f8b197737437/enterldestodesenterldestodes2010-01-14T09:15:59+01:00<span class="authorEditorList"><a href="/author/Gilbert">John P. Gilbert</a>, and <a href="/author/Mosteller">Frederick Mosteller</a> </span><em>Journal of the American Statistical Association</em> <em>61(313):35--73</em> (<em>1966</em>)Thu Jan 14 09:15:59 CET 2010Journal of the American Statistical Association31335--73Recognizing the Maximum of a Sequence611966The classical dowry, secretary, or beauty contest problem is extended in several directions. In trying to find sequentially the maximum of a random sequence of fixed length, the chooser can have one or several choices (section 2), no information about the distribution of the values (section 2), or at the other extreme, full information about the distribution and the value of the observation itself (section 3). He can have an opponent who alters the properties of the sequence (section 4). The payoff function may be 0 or 1 (sections 2-4), or it may be the value of the observation itself as in certain investment problems (section 5). Both theoretical and numerical results are given for optimum and near optimum play.http://www.bibsonomy.org/bibtex/2c9ed76d255e9d89f2fff6106a7aa673d/enterldestodesenterldestodes2010-01-14T09:15:55+01:00<span class="authorEditorList"><a href="/author/Franz Rothlauf">Daniel Schunk Franz Rothlauf</a>, and <a href="/author/Pfeiffer">Jella Pfeiffer</a> </span> (<em>January 2005</em>)Thu Jan 14 09:15:55 CET 2010http://wi.bwl.uni-mainz.de/Dateien/workingpaper-decision-behavior.pdfJanuaryClassification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms2005http://www.bibsonomy.org/bibtex/2001e714ef4d791d0057ba99ce705ec8d/enterldestodesenterldestodes2010-01-14T09:15:54+01:00<span class="authorEditorList"><a href="/author/Ferguson">Thomas S. Ferguson</a> </span><em>Statistical Science</em> <em>4(3):282--289</em> (<em>1989</em>)Thu Jan 14 09:15:54 CET 2010Statistical Science3282--289Who Solved the Secretary Problem?41989In Martin Gardner's Mathematical Games column in the February 1960 issue of Scientific American, there appeared a simple problem that has come to be known today as the Secretary Problem, or the Marriage Problem. It has since been taken up and developed by many eminent probabilists and statisticians and has been extended and generalized in many different directions so that now one can say that it constitutes a "field" within mathematics-probability-optimization. The object of this article is partly historical (to give a fresh view of the origins of the problem, touching upon Cayley and Kepler), partly review of the field (listing the subfields of recent interest), partly serious (to answer the question posed in the title), and partly entertainment. The contents of this paper were first given as the Allen T. Craig lecture at the University of Iowa, 1988.http://www.bibsonomy.org/bibtex/27e7ad81c587fd53bc83fd978392633f8/enterldestodesenterldestodes2009-03-03T13:53:18+01:00d3 <span class="authorEditorList"><a href="/author/Sabherwal">Ying Zhang Sanjiv Sabherwal</a> </span> (<em>2008</em>)Tue Mar 03 13:53:18 CET 2009Online talk: does it matter?2008d3 Abstract: Purpose – The purpose of this paper is to examine stocks that are most actively discussed by online posters and see if the messages posted about these stocks have information or if they are just noise. Design/methodology/approach – This study uses messages posted on TheLion.com, which reports a real time list of the ten most actively discussed stocks. The stocks in this list at the daily market close during 2005-2006 are examined. An event study is performed to estimate the daily abnormal returns on these stocks. Contemporaneous and lead–lag regressions of abnormal returns against message posting activities are performed. Findings – Online posters prefer thinly traded micro-cap stocks. On average, there is an abnormal return of 19.4 per cent on a stock the day it is one of the ten most talked about stocks. The number of messages posted about a stock on a given day is not only positively related with the stock's abnormal return on that day but it also positively predicts the next day's abnormal return. Research limitations/implications – It may be interesting to examine if the investor sentiment expressed in online messages has predictive power for micro-cap stocks. Practical implications – The results provide evidence to regulators that online talk affects stock prices. They show investors that there are inefficiencies in the stock market. They also suggest that corporate managers, especially of small firms, should monitor the stock message boards. Originality/value – This study focuses on the micro-cap stocks favored by online posters and finds that online talk has the power to predict the next-day returns. http://www.bibsonomy.org/bibtex/2562e2d68ffd0b8d48ba327adf39da8c2/enterldestodesenterldestodes2009-03-03T13:34:44+01:00d3 <span class="authorEditorList"><a href="/author/Fanga">Joel Peress Lily Fanga</a> </span> (<em>2007</em>)Tue Mar 03 13:34:44 CET 2009Media Coverage and the Cross-Section of Stock Returns2007d3 We examine the relation between media coverage and the cross-sectional dispersion of stock returns. We find a significant return premium on stocks with no media coverage: On average, these stocks out-perform stocks with high media coverage by 0.23% per month, after accounting for market, size, book-to-market, momentum, and liquidity. For small stocks, stocks with low analyst following, and stocks primarily owned by individuals, the risk-adjusted return premium is 0.65%-1% per month. These findings support the notion that information affects the cross- sectional dispersion of returns as in the models of Merton (1987) and Easley and O’Hara (2004). Liquidity and investor behavior, however, do not explain this return premium. http://www.bibsonomy.org/bibtex/23a839ad762a8df52402aa3bf02302c2e/enterldestodesenterldestodes2009-03-03T12:58:16+01:00d3 <span class="authorEditorList"><a href="/author/Schmeling">Maik Schmeling</a> </span>(<em>2007</em>)Tue Mar 03 12:58:16 CET 2009An empirical analysis of behavioral finance theories in international equity markets2007d3 Finanzmärkte spielen eine zentrale Rolle in modernen Volkswirtschaften und sind daher Gegenstand unzähliger theoretischer und empirischer Untersuchungen. Dennoch können die bisherigen Ansätze im Rahmen des neoklassischen, rationalen Theoriegebäudes das Geschehen auf Finanzmärkten weder erklären noch prognostizieren. Daher wurden in der jüngeren Vergangenheit neue Theorien im Feld "Behavioral Finance" entwickelt, die zum Ziel haben, das Verhalten von Investoren auf Finanzmärkten realistischer zu modellieren und vom Ideal eines vollkommen rationalen Investors - angesichts psychologischer und informatorischer Beschränkungen - abzurücken. Die fünf Kapitel dieser Dissertation beinhalten empirische Tests von grundlegenden Erkenntnissen der Behavioral Finance und untersuchen, ob die Annahme irrationaler oder beschränkt rationaler Investoren sinnvoll ist, um Finanzmarktprozesse und das beobachtete Verhalten von Investoren zu verstehen. Hinsichtlich der Ergebnisse können zwei zentrale Schlussfolgerungen gezogen werden. Erstens wird gezeigt, dass nicht-rationale Entscheidungsprozesse einen signifikanten Einfluss auf Finanzmarktbewegungen und Investorenverhalten ausüben. Dieses Ergebnis zieht sich durch alle fünf Kapitel der Arbeit und zeigt sich in der Prognosekraft von Investorenstimmungen für zukünftige, langfristige Renditen, der empirischen Erklärungskraft von Kurzfristorientierung und Verlustaversion für das Verhalten von erwarteten Querschnittsrenditen und den systematischen Verzerrungen im Anlageverhalten von institutionellen Investoren und Privatanlegern. Eine zweite Schlussfolgerung betrifft die Rolle von institutionellen und privaten Anlegern. Wie die empirischen Ergebnisse dieser Arbeit zeigen, verhalten sich diese beiden Gruppen von Marktteilnehmern signifikant unterschiedlich. Während institutionelle Anleger dem Ideal des rationalen Investors deutlich näher kommen, unterliegen private Anleger stärker systematisch verzerrtem Verhalten und stellen durch ihr Verhalten tendenziell ein Hindernis für effiziente Märkte dar. Schlagwörter: Vermögenspreise, Behavioral Finance, Erwartete Renditen, Verlustaversion importedhttp://www.bibsonomy.org/bibtex/2f6a10fc29661debb295a96f478343943/enterldestodesenterldestodes2009-03-03T12:54:50+01:00d3 <span class="authorEditorList"><a href="/author/Schmitz∗">Philipp Schmitz∗</a> </span> (<em>2007</em>)Tue Mar 03 12:54:50 CET 2009Market and Individual Investors Reactions to Corporate News in the Media2007d3 In this paper we present results from an event study based on a unique data set of corporate news in the media. The data is provided by Media Tenor, a research institute which collects and rates all corporate news from the most important German daily newspapers and TV news. Our analysis is based on roughly 300,000 corporate news on 125 large- and medium-sized companies in 5 large daily newspapers and 7 TV news shows from Germany between July 1998 and October 2006. Since analysts rate the news, we have an exogenous measure whether news are good or bad news for a company. Based on this data we can show that the incorporation of information in prices is fairly fast. The main price reaction occurs on the day of the arrival of the new information. This price jump is especially large if the news coverage in the media is accompanied by ad hoc announcements made by the corporation itself. While there is only a very short-term post-event drift after good news, prices tend to drift for several days after bad news. The post-event trading volume is significantly higher than before the news for several days for good as well as bad news. To provide a test of the model of Hong and Stein (1999) we define several proxies for the speed of the information diffusion through different investor groups. We find that for smaller companies with lower abnormal media coverage the information diffusion is indeed slower, as predicted by theory. We further combine the media coverage data with individual investors transaction data in stocks and bank-issued warrants from a large German online broker. Our results indicate that individual investors, especially stock investors, as compared to warrant investors, react slower to new information as the market does. A tendency to react to bad news by buying put warrants, because selling stocks short was impossible for private investors during our sample period, could not be observed. http://www.bibsonomy.org/bibtex/21bb9e10c609dea18cda0bcc08bc2ed8a/enterldestodesenterldestodes2009-03-03T12:52:13+01:00d3 <span class="authorEditorList"><a href="/author/Mayew">Mohan Venkatachalam William J. Mayew</a> </span> (<em>2008</em>)Tue Mar 03 12:52:13 CET 2009The Power of Voice: Managerial Affective States and Future Firm Performance2008d3 Abstract In this study, we measure managerial affective states during earnings conference calls by analyzing conference call audio files using vocal emotion analysis software. We hypothesize and find that negative affect displayed by managers discussing their firms’ results and prospects is informative about the firm’s financial future. In particular, we find that managers exhibiting negative affect are less likely to meet or beat earnings expectations over each of the three subsequent quarters. However, market participants do not immediately impound these implications. Negative affect is not associated with analyst forecast revisions of next quarter’s earnings. Over the subsequent 180 trading days, cumulative abnormal returns are negatively associated with negative affect, revealing that the market eventually impounds the implications of negative affect into price. Together our findings suggest that vocal cues contain useful information about firms’ fundamentals, incremental to, and of comparable magnitude to, qualitative information conveyed by the linguistic content. http://www.bibsonomy.org/bibtex/2838085ef04c30731aaa9dc4cfaf95292/enterldestodesenterldestodes2009-03-03T12:49:31+01:00d3 <span class="authorEditorList"><a href="/author/Zhou">Yingjie Zhou</a>, <a href="/author/Magdon-Ismail">Malik Magdon-Ismail</a>, <a href="/author/Wallace">William A. Wallace</a>, and <a href="/author/Goldberg">Mark Goldberg</a> </span><em>ISI Workshops, </em><em>volume 5075 of Lecture Notes in Computer Science, </em><em>page 331-342. </em><em>Springer, </em>(<em>2008</em>)Tue Mar 03 12:49:31 CET 2009ISI Workshopsconf/isi/2008w331-342Lecture Notes in Computer ScienceA Generative Model for Statistical Determination of Information Content from Conversation Threads.50752008d3 dblphttp://www.bibsonomy.org/bibtex/2f58d10d12aa8d00b98ad81be20680183/enterldestodesenterldestodes2009-03-03T12:48:38+01:00d3 <span class="authorEditorList"><a href="/author/Takahashi">Satoru Takahashi</a>, <a href="/author/Takahashi">Masakazu Takahashi</a>, <a href="/author/Takahashi">Hiroshi Takahashi</a>, and <a href="/author/Tsuda">Kazuhiko Tsuda</a> </span><em>KES 2, </em><em>volume 4252 of Lecture Notes in Computer Science, </em><em>page 310-316. </em><em>Springer, </em>(<em>2006</em>)Tue Mar 03 12:48:38 CET 2009KES (2)conf/kes/2006-2310-316Lecture Notes in Computer ScienceAnalysis of Stock Price Return Using Textual Data and Numerical Data Through Text Mining.42522006d3 dblphttp://www.bibsonomy.org/bibtex/20ab8485060fae67b8e89ad75af584591/enterldestodesenterldestodes2009-03-03T11:24:29+01:00d3 <span class="authorEditorList"><a href="/author/Mizrach">Susan Weerts Bruce Mizrach</a> </span> (<em>2005</em>)Tue Mar 03 11:24:29 CET 2009Experts Online: An Analysis of Trading Activity in a Public Internet Chat Room2005d3 We analyze the trading activity in an Internet chat room with approximately 1,300 participants. Traders make posts in real time about their activities. We find these traders are more skilled than retail investors analyzed in other studies. 55% make profits after transaction costs, and they earn $153 per trade. Traders hold their winners 25% longer than their losers. They have statistically significant α’s of 0.41% per day after controlling for the Fama-French factors and momentum. 38% of profits persist in the next year. Traders improve their skill over time, earning an extra $189 per month for each year of trading experience. They also gain expertise in trading particular stocks. Traders who raise their Herfindahl index by 0.1 raise their profitability by $46 per trade. 42% trade both long and short, with equal success rates, and almost double the profit per trade when short. http://www.bibsonomy.org/bibtex/287f74809a04b6de6a4cc7f34400d8bc9/enterldestodesenterldestodes2009-03-03T09:52:53+01:00d3 <span class="authorEditorList"><a href="/author/Choudhury">Munmun De Choudhury</a>, <a href="/author/Sundaram">Hari Sundaram</a>, <a href="/author/John">Ajita John</a>, and <a href="/author/Seligmann">Dorée D. Seligmann</a> </span><em>Hypertext, </em><em>page 55-60. </em><em>ACM, </em>(<em>2008</em>)Tue Mar 03 09:52:53 CET 2009Hypertextconf/ht/200855-60Can blog communication dynamics be correlated with stock market activity?2008d3 ABSTRACT In this paper, we develop a simple model to study and analyze communication dynamics in the blogosphere and use these dynamics to determine interesting correlations with stock market movement. This work can drive targeted advertising on the web as well as facilitate understanding community evolution in the blogosphere. We describe the communication dynamics by several simple contextual properties of communication, e.g. the number of posts, the number of comments, the length and response time of comments, strength of comments and the different information roles that can be acquired by people (early responders / late trailers, loyals / outliers). We study a “technology-savvy” community called Engadget (http://www.engadget.com). There are two key contributions in this paper: (a) we identify information roles and the contextual properties for four technology companies, and (b) we model them as a regression problem in a Support Vector Machine framework and train the model with stock movements of the companies. It is interestingly observed that the communication activity on the blogosphere has considerable correlations with stock market movement. These correlation measures are further cross-validated against two baseline methods. Our results are promising yielding about 78% accuracy in predicting the magnitude of movement and 87% for the direction of movement. dblp