Titles, abstracts and documents :<\/strong><\/p>\n Abstract :\u00a0<\/strong>In this technical presentation we describe our implementation of solution techniques based on the deterministic and stochastic models introduced in the previous seminar. We present a project in AIMMS which contains the implementation and we focus on features related to stochastic aspects of the model. In particular we explain in detail how scenarios can be generated in AIMMS using a built-in support module and how scenario-based deterministic equivalent of a stochastic model can be automatically created. Part of the implementation in AIMMS is also a testing framework which we use to evaluate the performance of the indiviual solution techniques.<\/p><\/blockquote>\n<\/li>\n abstract\u00a0<\/strong>(in french :\u00a0invitation<\/a>): abstract:<\/strong>\u00a0We present results of an experiment on expectation formation in an asset market. We consider a simple market with a riskless bond and a risky stock. abstract:<\/strong>\u00a0Intense competitive pressures, in the global markets, have forced companies to find and select new supply sources in the worldwide for reducing cost and improving quality while simultaneously achieving high technology in the long term. On the other hand, realizing the impacts of suppliers and supplier relationships on the firm\u2019s performance and competitiveness has motivated firms to develop long-term strategic sourcing relationships with suppliers. The purpose of this study is to examine global sourcing relationships and to investigate the impacts of global buyers\u2019 sourcing strategies on the supplier performance and innovation. …<\/p><\/blockquote>\n<\/li>\n abstract<\/b>: We first provide a nonparametric inference of the relationship between life expectancy and economic growth on an historical data for 18 countries over the period 1820-2005. The obtained shape shows up convexity for low enough values of life expectancy and concavity for large enough values. We then study this relationship on a benchmark model combining \u201cperpetual youth\u00a0\u00bb and learning-by-investing. In such a benchmark, the generated relationship between life expectancy and economic growth is shown to be strictly increasing and concave. We finally examine two models departing from \u201cperpetual youth\u00a0\u00bb by assuming successively age-dependent earnings and age-dependent survival probabilities. With age-dependent earnings, the obtained relationship is hump-shaped while agedependent survival laws do reproduce the convex-concave shape detected in the prior empirical study.<\/p><\/blockquote>\n<\/li>\n abstract:<\/strong>We study the effect of the relationship between the recovery rate (RR) and the probability of default (PD) in the traditional Monte Carlo credit risk model introduced by Li (1999) for the pricing of structured credit derivatives. The influence of this effect is particularly important if we consider extreme tranches of CDOs, because they are only reached when numerous defaults have arrived. This could be an explanation of the observed correlation smile on the market. The model is applied on a generic cash CDO and on the European iTraxx synthetic CDO index.<\/p><\/blockquote>\n<\/li>\n abstract<\/b>: This paper investigates the causal effects of the spatial organization of Brussels on unemployment propensities. Using Census data at the individual level, we estimate the unemployment probability of young adults while taking into account personal, household and neighbourhood characteristics. We solve the endogeneity of residential locations by restricting our sample to young adults residing with their parents, and evaluate the potential remaining bias by conducting a sensitivity analysis. Our results suggest that residing in a deprived neighbourhood significantly increases a youngster probability of being unemployed, a result which is quite robust to the presence of both observed and unobserved parental covariates.<\/p><\/blockquote>\n<\/li>\n abstract<\/b>: Boolean function on n variables is a mapping of Boolean vectors of length n to Boolean values (Boolean vectors contain just Boolean values 0,1, traditionally denoted as false and true). Boolean functions can be represented in many ways, the most usual forms are logical formulae and decision trees. One of the fundamental problems in the field of Boolean function is Boolean minimization where the task is to find a short representation of a given function. In my talk I will present a non-traditional representation of Boolean functions \u2013 the interval representation, its properties and relation to Boolean minimization.<\/p><\/blockquote>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":" Research Seminar 2008-2009 Titles, abstracts and documents : August 2009, wednesday 26 :\u00a0Vehicle loading optimization with stochastic supply – models, by David Kronus, visinting researcher of QuantOM, HEC-ULg. (B31, 11:00 AM) August 2009, friday 28 :\u00a0Vehicle loading optimization with stochastic<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":21,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-42","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/pages\/42"}],"collection":[{"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/comments?post=42"}],"version-history":[{"count":3,"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/pages\/42\/revisions"}],"predecessor-version":[{"id":58,"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/pages\/42\/revisions\/58"}],"up":[{"embeddable":true,"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/pages\/21"}],"wp:attachment":[{"href":"http:\/\/seminar.hec.ulg.ac.be\/index.php\/wp-json\/wp\/v2\/media?parent=42"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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\n<\/strong>Professor Nelson’s recent research is focused on the intersection of gender and entrepreneurship and the project she will discuss involves the ways that successful women entrepreneurs perceive gender as a factor they must manage as they seek to acquire essential organizational resources. Nelson and her colleagues interviewed 20 women founder\/CEOs in California and Massachusetts who had successfully accessed venture capital for their firms. The results of the research show how being a woman is relevant to women’s entrepreneurial business success, and how women strategize and manage the gendered landscape. Nelson will also discuss generally the status of women entrepreneurs in the United States and the particular opportunities and challenges they face.<\/p><\/blockquote>\n<\/li>\n
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\nIn the market, six experimental subjects must provide forecasts of the stock future return to computerized utility-maximizing investors, and are rewarded according to how well their forecasts perform in the market. We run two treatments to test the influence of perceived volatility on aggregate dynamics. In the Baseline treatment subjects must only forecast the stock future return one period ahead; in the Variance treatment, we also elicit subjects confidence intervals for their forecasts, which we take as a proxy for perceived volatility. The realized asset price is derived from a Walrasian market equilibrium equation with non-linear feedback from individual forecasts. Our experimental markets exhibit high volatility, fat tails and other properties typical of real financial data. Eliciting confidence intervals for predictions has the effect of reducing price fluctuations and increasing subjects’ coordination on a common prediction strategy.<\/p><\/blockquote>\n<\/li>\n
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\nby Ga\u00e9tan de Rassenfosse, FNRS Research Fellow, ULB, Solvay Brussels School of Economics and Management (SBS-EM), ECORE (ECARES) and Bruno van Pottelsberghe de la Potterie, ULB, Solvay SA Chair of Technological Innovation, SBS-EM, ECORE (ECARES), Bruegel, Brussels and CEPR, London
\npresented by Ga\u00e9tan de Rassenfosse.<\/li>\n
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