All 16 results
Sort by
-
Empirical Finance - Weekly Summaries + Exercises and 1 Lab Session
- Package deal • 13 items • 2018
-
- $8.39
- 18x sold
- + learn more
Here is a bundle of the Empirical Finance Summaries. Good luck for the exam! Is not going to be easy! For questions please leave a message.
-
Self-Study Questions Chapter 3 & 4 with Solutions Chris Brooks - 3rd Edition
- Answers • 10 pages • 2017
- Available in package deal
-
- $3.35
- 12x sold
- + learn more
Here are the exercises from Chapter 3 and 4 together with their solutions.
-
Summary Introductory Econometrics for Finance by Chris Brooks
- Summary • 23 pages • 2016
- Available in package deal
-
- $4.46
- 7x sold
- + learn more
Summary of the book Introductory Econometrics for Finance. The chapters from the course schedule of Empirical Finance.
-
Summary Empirical Finance and Derivatives
- Package deal • 2 items • 2016
-
- $7.26
- 4x sold
- + learn more
Summary of the book Introductory Econometrics for Finance and Options, Futures and other Derivatives
-
Classical Linear Regression Model
- Summary • 14 pages • 2017
- Available in package deal
-
- $3.35
- 2x sold
- + learn more
Summary of the 1st lecture, week 1. It includes explanations of the Dummy variables and interactions, visualisation of interaction effects, R-squared, Adjusted R-Square, Multicollinearity, interpretation of the entire Stata table, interpretation of the sign of the coefficients, p-values, t-values, and standard errors, Root MSE, and the F-test. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps al...
-
Self-Study Questions Chapter 12 with Solutions Chris Brooks - 3rd Edition
- Answers • 5 pages • 2017
- Available in package deal
-
- $3.35
- 2x sold
- + learn more
Here are the exercises from Chapter 12 together with the solutions.
-
Logit Model + Self-Study Question & Solutions + Multiple Choice Questions + Exam Questions
- Summary • 18 pages • 2017
- Available in package deal
-
- $3.35
- 2x sold
- + learn more
Summary of the 2nd lecture, week 1. It includes explanation of the logit model with an empirical example, estimation of the model, and how to build a ROC curve step by step as provided by the teacher in class. Also the interpretation of the coefficients is provided. The self-study questions and the multiple questions with the solutions are from the end of the book. The exam questions are from the exams provided by the lecturer.
-
Summary - Panel Data
- Summary • 15 pages • 2017
- Available in package deal
-
- $3.35
- 2x sold
- + learn more
This summary provides a good explanation of the panel data. It goes into explaining the meaning of panel data, how to deal with panel data regressions, pooled regressions with examples from the class, fixed effects, time and firm fixed effects and random effects model. It explains the within and between estimator, the interpretation of the models, the Hausman test together with the interpretation of the stata table, some exam questions, and at the end it goes into the clustered standard errors....
-
Summary - ARCH Models
- Summary • 13 pages • 2017
- Available in package deal
-
- $3.35
- 1x sold
- + learn more
Here you can find a summary of the ARCH models. Basically, in this document you can find everything that the prof. said in the class. It contains explanation of different types of volatility, the basic ARCH model, conditional variance, transformation of the model into ARMA model, volatility clustering, testing for ARCH effects, diagnostic of the model. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It ...
-
Summary - ARMA Basics
- Summary • 11 pages • 2017
- Available in package deal
-
- $3.35
- 1x sold
- + learn more
This summary provides the basis for the ARMA models. It contains an explanation of the autocorrelation, White Noise, Partial Autocorrelation, Moving Average Model, Stationarity of the time series, weakly stationary, covariance stationary, model selection criteria, and how to interpret the graphs. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps also if you did not watch the weblecture, because ...