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Institution

Instituto Tecnológico Autónomo de México

EducationMexico City, Mexico
About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: The quadratic and linear cash flow dispersion measures M 2 and N are two immunization risk measures designed to build immunized bond portfolios as mentioned in this paper, and they have been shown to have good empirical behavior.
Abstract: The quadratic and linear cash flow dispersion measures M 2 and ~ N are two immunization risk measures designed to build immunized bond portfolios. This paper generalizes these two measures by showing that any dispersion measure is an immunization risk measure and therefore, it sets up a tool to be used in empirical testing. Each new measure is derived from a different set of shocks (changes on the term structure of interest rates) and depends on the corresponding subset of worst shocks. Consequently, a criterion for choosing appropriate immunization risk measures is to take those developed from the most reasonable sets of shocks and the associated subset of worst shocks and then select those that work best empirically. Adopting this approach, this paper then explores both numerical examples and a short empirical study on the Spanish Bond Market in the mid-1990s to show that measures between linear and quadratic are the most appropriate, and amongst them, the linear measure has the best properties. This confirms previous studies on US and Canadian markets that maturityconstrained-duration-matched portfolios also have good empirical behavior. 2002 Elsevier Science B.V. All rights reserved.

24 citations

Journal ArticleDOI
TL;DR: This article derives ARL expressions for charts with the k-of-k runs rule and shows how to design S charts with this runs rule, compare their ARL performance, and make a control chart recommendation when it is important to monitor for both increases and decreases in process dispersion.
Abstract: The standard S chart signals an out-of-control condition when one point exceeds a control limit. It can be augmented with runs rules to improve its performance in detecting assignable causes. A commonly used rule signals when k consecutive points exceed a control limit. This rule can be used alone or to supplement the standard chart. In this article we derive ARL expressions for charts with the k-of-k runs rule. We show how to design S charts with this runs rule, compare their ARL performance, and make a control chart recommendation when it is important to monitor for both increases and decreases in process dispersion.

24 citations

Proceedings ArticleDOI
22 Jun 2017
TL;DR: This paper evaluates the effectiveness of Machine Learning (ML) approach to detect AF episodes by means of the MIT-BIH Atrial Fibrillation Database.
Abstract: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia and effects nearly 1–2 of every 100 persons of the population. This paper evaluates the effectiveness of Machine Learning (ML) approach to detect AF episodes. Features, determined exclusively on the basis of beat intervals, are classified with linear classifier. Performances of the proposed approach are evaluated by means of the MIT-BIH Atrial Fibrillation Database.

24 citations

Journal ArticleDOI
TL;DR: A basic combining rule of linear predictors is established and it is shown that such problems as forecast updating, missing value estimation, restricted forecasting with binding constraints, analysis of outliers and temporal disaggregation can be viewed as problems of optimal linear combination of restrictions and forecasts.
Abstract: An important tool in time series analysis is that of combining information in an optimal way. Here we establish a basic combining rule of linear predictors and show that such problems as forecast updating, missing value estimation, restricted forecasting with binding constraints, analysis of outliers and temporal disaggregation can be viewed as problems of optimal linear combination of restrictions and forecasts. A compatibility test statistic is also provided as a companion tool to check that the linear restrictions are compatible with the forecasts generated from the historical data. Copyright © 2000 John Wiley & Sons, Ltd.

24 citations

Journal ArticleDOI
TL;DR: In this article, a variable rate of capital utilization and depreciation was introduced into a modified Ramsey-type neoclassical growth model via the well-known concept of pure user cost, and the optimal utilization rate was found to be determined by the opportunity cost of holding capital or the net real interest rate.
Abstract: This paper introduces a variable rate of capital utilization and depreciation into a modified Ramsey-type neoclassical growth model via the well-known concept of pure user cost. The optimal utilization rate is found to be determined by the opportunity cost of holding capital or the net real interest rate. As a consequence, this rate may vary in the short run, so total services of capital become a control rather than a state variable. Furthermore, the introduction of a variable utilization rate yields a slower rate of convergence toward the steady state, inducing more persistence in the transitional dynamics. To illustrate how the endogenous choice of utilization acts on the system, some simulations are carried out, including the transition period when there is a temporary fall in the exogenous real interest rate.

24 citations


Authors

Showing all 1112 results

NameH-indexPapersCitations
Stanislav Pospisil10596644510
Romeo Ortega8277830251
Enrique Alba5753014535
Maria Merino5619011282
Manuel A. S. Santos472559081
Aaron Tornell4613910575
Georges Zaccour433197245
Carlos Velasco422206186
Francisco J. Cervantes371445401
Hussain Shareef353765377
Diego Restuccia31955817
Stephen Haber30984326
Igor Prünster291063033
Víctor M. González281654209
Antonio Lijoi281233066
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202236
2021175
2020133
2019143
2018136