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Dr. Martín Lozano.

Main areas. Finance, Economics, Statistics, Data Science.

Programming skills. Proficient in R. I am familiar with Octave, MATLAB, Python and LaTeX editors.

Computer skills. Weka, GGobi, E-Views, Stata, Gretl, SPSS, among others.

Research interests. Empirical asset pricing; beta and SDF pricing models and tests; financial econometrics; GMM estimation and inference; portfolio allocation models and performance; computational finance; data science applications in business.

Teaching interests. Introductory economics (microeconomics, macroeconomics), economic analysis, quantitative finance, computational finance with R, risk management, financial modeling, financial econometrics, statistics.

My updated CV in PDF.

Connect with me:

martin-lozano-21818a22 martin-lozano-21818a22 https://www.youtube.com/channel/drmartinlozano https://www.youtube.com/channel/drmartinlozano mailto:mlozanoqf@gmail.com googlescholar

mlozanoqf

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Martín Lozano's Projects

latex icon latex

Latex, latex, latex, allan daginn...

mlwscv2022 icon mlwscv2022

Duke Machine Learning Winter School: Computer Vision 2022

pmf_fall21 icon pmf_fall21

PMF Fall 2021 - Pull request practice and an assignment template.

pytorchtutorials icon pytorchtutorials

PyTorch Tutorial materials for Duke University +Data Science Initiative in 2019

resume icon resume

Resume/CV template using RMarkdown and LaTeX

runwayfinance icon runwayfinance

Proyecto de Prácticas Profesionales Dirigidas con Hernán 9no semestre de la UDEM ITC

statistical-computing icon statistical-computing

Work related to statistical learning, computational statistics and applications to finance.

teaching icon teaching

Basics of R programming. Most of the examples, tasks and programming challenges are for economics, finance, statistics and business students in general.

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