#Matlab 2008 syntax error how to#
#Matlab 2008 syntax error full#
#Matlab 2008 syntax error code#

Stata is easy to use but it is a little painful to save the outputs.

Stat/Transfer is a cute tool to switch the data types. Sometimes it is convenient to handle raw data in SAS and then perform statistical analysis in Stata. It includes Fama-MacBeth regressions, fixed effects, and bootstrapped standard errors, etc. Mitchell Petersen's Programming Advice provides information and Stata codes on estimating standard errors of panel data. Here are some tips on using Stata for empirical research. However, there is little flexibility for programming.

#Matlab 2008 syntax error how to#

There are many existing modules on statistical analysis and the priority is to figure out how to use them correctly. It is an ideal tool to handle panel data and has been extensively used for research in corporate finance. In this computational finance course project, I wrote simple Matlab codes to simulate the growth paths of individual firms with transition shocks, and show how the cash holding-cash flow sensitivity (a proxy for financing constraints) changes over firm age, under frictionless capital market.ДЄs a read-to-use software, Stata is small but very useful. Here is an example (Table and Figure) from my research project. Bekaert and Urias (1996)'s GMM Wald test under stochastic discount factor approach. Ferson, Foerster and Keim (1993)'s GMM Wald test under conditional heteroskedasticity. It includes Huberman and Kandel (1987)'s likelihood ratio test. The formal mean-variance-spanning tests (for the shifts of efficient-frontiers) can be easily conducted and plotted in Matlab. Mike Cliff's website lists a bunch of Matlab functions for finance research like finding Hansen-Jagannathan bounds and computing Newey-West adjusted standard errors. Though you may not find the exact function you want, you can make your own based on one of these open source codes. However, Matlab seems to have limitations on dealing with huge numeric / text data, where SAS / PERL stands out.Д®conometric Tools for Matlab (from James P. It is also good at simulation and producing 3-dimentional figures.

#Matlab 2008 syntax error full#

As an expert in matrix computation, Matlab provides freedom and full control over all desired statistical procedures or measures. The most important thing I have learned using Matlab is how to make effective programming, which could be applied to any other languages. Matlab was my favorite when I studied in the economics Ph.D. This SAS example shows how to use the single portfolio sort macro and Fama-MacBeth regressions codes. The time periods covered and the total observations involved are also listed. The Newey West t-stat is reported in bracket and the significance level is labeled in */**/***.

#Matlab 2008 syntax error code#

See sample output 2.ДЇama-MacBeth regressions : this SAS code conducts Fama-MacBeth regressions and reports the average coefficients as well as R-squares in a well-organized table format. The code works for daily/weekly/monthly frequency. The Newey West t-stat is reported in bracket and the significance level for all top-bottom difference is labeled in */**/***. The output includes raw return, CAPM alpha, Fama-French three-factor alpha and Carhart four-factor alpha. See sample output 1.Дouble portfolio sorting : this SAS macro can help make a neat table in Excel for double portfolio sorting.

The Newey West t-stat is reported in bracket and the significance level for top-bottom difference is labeled in */**/***.

Single portfolio sorting : this SAS macro can help make a neat table in Excel for single portfolio sorting. Both Pearson and nonparametric Spearman correlations are reported. Winsorize : Have found outliers in your data? This SAS macro can easily winsorize or trim extreme observations.Д¬orrelation matrix : this SAS macro generates the time-series average of cross-sectional correlation matrix. Here I have posted some SAS codes for research purpose. More importantly, SAS is almost a must-have tool for empirical work, particularly for empirical asset pricing. I even conducted 12 million times EGARCH regressions using SAS on WRDS Unix server and it was finished much faster than expected. Compared with C or Matlab, efficiency might be a concern for SAS. With AUTOREG procedure, SAS can do fancy time-series regressions, similar to EViews. With IML procedure, SAS can work on matrix operations, similar to Matlab or Gauss. With SQL procedure, SAS is really efficient in handling huge data sets such as NYSE TAQ database.