Investors Impacts on Currency Returns: Theory versus Practice.

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Human Capital Externalities in the Canadian Metropolitan Areas: How Do We Measure Human Capital?

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Quantifying Capital Mobility in OECD and EU Areas.

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Immigrant Returns to Education and Experience: Analysis of Skill Discounting in Canada.

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Capital Income Taxation, Depletion, Allowances and Non-Renewable Resource Extraction

Dans Cet Article, Nous Etudions les Distorsions Que Cause L'impot Sur le Revenu des Societes Dans le Profil de Production des Firmes Extractives et Dans L'allocation des Ressources Entre les Secteurs D'extraction et les Autres Secteurs Soumis a L'impot Sur les Societes. Nous Etudions En Particulier L'allocation D'epuisement, Dont Nous Montrons Qu'elle Peut Trouver Sa Justification, Non Pas a Assurer la Neutralite de L'impot, Mais En Permettant L'etablissement de Taux Effectifs D'imposition Identiques Dans les Secteurs D'extraction et Dans les Autres Secteurs.

Lien Entre Capital Fictif, Markup Flexible et Inflation

Dans Cet Article J'ai Cherche a Demontrer les Liens Qui Existent Entre la Theorie Quantitative de la Monnaie, la Theorie du \"Markup\" et L'inflation. Bien Qu'il Ne Soit Pas Necessaire D'admettre L'equilibre et les Courbes Is-Lm, Ma Theorie du Capital Fictif Est Compatible Avec le Q de Tobin. le Principal Avantage de la Theorie du \"Markup\" Flexible Est de Montrer Comment L'inflation Est Fonction Non Seulement du Prix et de la Productivite du Travail, Mais Aussi du Prix de la Productivite du Capital, de Son Taux D'amortissement et de Son Taux de Financement. les Nouveaux Resultats Econometriques Obtenus a Partir des Donnees Annuelles Canadiennes Illustrent Hors de Tout Doute le Bien Fonde de la Relation Entre Capital Fictif et Inflation.

Queretaro libre ó sea : el triunfo de la justicia, en los plausible acontecimientos políticos de la capital de este estado, en los días 22 y 23 de diciembre de 1829

UANL

Governments and the Decentralization

The Purpose of This Article Is to Show How Costs and Benefits of Geographical Decentralization of R&D Can Be Identified and Compared. the Benefits for the Region That Receives R&D Activities Are Studied in Section 1. They Stem From the Short-Run Multiplier Effect, the Amelioration of Human Capital and the Possible Modernization of the Local Industrial Structure. on the Cost Side Examined in Section 2, the Observable Impacts of the Decentralization of R&D Concern the Loss of Returns to Scale and of the Production of the R&D Output. It Is Shown, in Section 3, That the Flows of Costs and Benefits Must Be Discounted by the Social Cost of Capital. the Main Conclusion of This Article Is That the Decentralization of R&D in a Large Sparsely Populated Country Entails Social Cost and Would Weaken Its Competitive Position in World Commerce. on the Other Hand, the Issue of Decentralization Is More Crucial for Small Countries (In Terms of Population and Economic Size) Than for Large Ones, Like the U.S., Where Critical Masses of Research Efforts Cna Be Simulataneously Attained in Many Fields and in Many Places.

Colección de leyes, decretos y circulares expedidas por el Supremo Gobierno de la República, comprende desde su salida de la Capital en 31 de mayo de 1863 hasta su regreso á la misma en 15 de julio de 1867

UANL

The Shape of the Risk Premium: Evidence from a Semiparametric Garch Model.

We examine the relationship between the risk premium on the S&P 500 index return and its conditional variance. We use the SMEGARCH - Semiparametric-Mean EGARCH - model in which the conditional variance process is EGARCH while the conditional mean is an arbitrary function of the conditional variance. For monthly S&P 500 excess returns, the relationship between the two moments that we uncover is nonlinear and nonmonotonic. Moreover, we find considerable persistence in the conditional variance as well as a leverage effect, as documented by others. Moreover, the shape of these relationships seems to be relatively stable over time.

Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models

In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, at univariate and multivariate levels, with Gaussian and non-Gaussian (including Student t) errors. The univariate tests studied extend existing exact procedures by allowing for unspecified parameters in the error distributions (e.g., the degrees of freedom in the case of the Student t distribution). The multivariate tests are based on properly standardized multivariate residuals to ensure invariance to MLR coefficients and error covariances. We consider tests for serial correlation, tests for multivariate GARCH and sign-type tests against general dependencies and asymmetries. The procedures proposed provide exact versions of those applied in Shanken (1990) which consist in combining univariate specification tests. Specifically, we combine tests across equations using the MC test procedure to avoid Bonferroni-type bounds. Since non-Gaussian based tests are not pivotal, we apply the “maximized MC” (MMC) test method [Dufour (2002)], where the MC p-value for the tested hypothesis (which depends on nuisance parameters) is maximized (with respect to these nuisance parameters) to control the test’s significance level. The tests proposed are applied to an asset pricing model with observable risk-free rates, using monthly returns on New York Stock Exchange (NYSE) portfolios over five-year subperiods from 1926-1995. Our empirical results reveal the following. Whereas univariate exact tests indicate significant serial correlation, asymmetries and GARCH in some equations, such effects are much less prevalent once error cross-equation covariances are accounted for. In addition, significant departures from the i.i.d. hypothesis are less evident once we allow for non-Gaussian errors.

Exact Multivariate Tests of Asset Pricing Models with Stable Asymmetric Distributions

In this paper, we propose exact inference procedures for asset pricing models that can be formulated in the framework of a multivariate linear regression (CAPM), allowing for stable error distributions. The normality assumption on the distribution of stock returns is usually rejected in empirical studies, due to excess kurtosis and asymmetry. To model such data, we propose a comprehensive statistical approach which allows for alternative - possibly asymmetric - heavy tailed distributions without the use of large-sample approximations. The methods suggested are based on Monte Carlo test techniques. Goodness-of-fit tests are formally incorporated to ensure that the error distributions considered are empirically sustainable, from which exact confidence sets for the unknown tail area and asymmetry parameters of the stable error distribution are derived. Tests for the efficiency of the market portfolio (zero intercepts) which explicitly allow for the presence of (unknown) nuisance parameter in the stable error distribution are derived. The methods proposed are applied to monthly returns on 12 portfolios of the New York Stock Exchange over the period 1926-1995 (5 year subperiods). We find that stable possibly skewed distributions provide statistically significant improvement in goodness-of-fit and lead to fewer rejections of the efficiency hypothesis.

Amparo promovido por los señores Larrache y Compañía Sucesores contra la sentencia de graduación pronunciada por el juez segundo de lo civil de esta capital el 21 de julio de 1878 en el concurso hipotecario á bienes de Don Blas Pereda

UANL

Noticias históricas de la instrucción por el clero en León, desde el año de 1576 en que se fundó la ciudad hasta el de 1862 en que fué ergida capital del obispado

UANL