辅导MGF 637、讲解R编程设计、Financial Modeling讲解、讲解R程序语言
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Spring 2019
Extra Credit Assignment
Instructions: This is an extra credit opportunity for those who want it. In exchange for quality
completion, I will drop your lowest Quiz grade in the course.
R is a powerful data program, and while our class focuses very specifically on time-series ARIMA-GARCH
modeling, there are all sorts of packages and features out there (think Quantmod). The goal of this extra
credit is to help all of us, as well as future semesters, by discovering interesting R code/scripts that may
be useful in our studies. What I’m looking for is the following:
1) Find an interesting series of R information (code, scripts, programs, functions, etc.) that is not
covered in our modeling course (also do not explore Black-Scholes, as we will get to that). This
could be from textbooks, google searching, or any other research you choose.
2) Create a PowerPoint deck of at least 10 slides that could be used to teach a 60-minute class on
the topic and material you’ve chosen. Think of our case studies, a new way of tackling a new
problem, and you will pretend you are the Professor aiming to teach the content to a class of
bright-eyed, future Tim Apple’s
3) There are no restrictions on what you choose, so long as it’s beneficial to us in the MS
Finance/MBA Finance field. For example, Data Analysis, Data Manipulation, Data Formatting,
Derivatives, Fixed Income, Stochastic Modeling, Portfolio Analysis, there are infinite possibilities
4) Code must be included in PowerPoint slides with explanations to guide the class through WHY
this code is important and HOW to perform the code
5) You must put a unique spin on the material such that it’s not complete plagiarism of the
previous work, depending on how much you’ve borrowed from another resource
6) Include all citations in a final slide at the back of the PowerPoint to avoid lawsuits from Michael
Avenatti
The deadline for this extra credit opportunity is May 1st. If you have any questions, please reach out
before submission to ensure I find the PowerPoint sufficient for the quiz drop.
Spring 2019
Extra Credit Assignment
Instructions: This is an extra credit opportunity for those who want it. In exchange for quality
completion, I will drop your lowest Quiz grade in the course.
R is a powerful data program, and while our class focuses very specifically on time-series ARIMA-GARCH
modeling, there are all sorts of packages and features out there (think Quantmod). The goal of this extra
credit is to help all of us, as well as future semesters, by discovering interesting R code/scripts that may
be useful in our studies. What I’m looking for is the following:
1) Find an interesting series of R information (code, scripts, programs, functions, etc.) that is not
covered in our modeling course (also do not explore Black-Scholes, as we will get to that). This
could be from textbooks, google searching, or any other research you choose.
2) Create a PowerPoint deck of at least 10 slides that could be used to teach a 60-minute class on
the topic and material you’ve chosen. Think of our case studies, a new way of tackling a new
problem, and you will pretend you are the Professor aiming to teach the content to a class of
bright-eyed, future Tim Apple’s
3) There are no restrictions on what you choose, so long as it’s beneficial to us in the MS
Finance/MBA Finance field. For example, Data Analysis, Data Manipulation, Data Formatting,
Derivatives, Fixed Income, Stochastic Modeling, Portfolio Analysis, there are infinite possibilities
4) Code must be included in PowerPoint slides with explanations to guide the class through WHY
this code is important and HOW to perform the code
5) You must put a unique spin on the material such that it’s not complete plagiarism of the
previous work, depending on how much you’ve borrowed from another resource
6) Include all citations in a final slide at the back of the PowerPoint to avoid lawsuits from Michael
Avenatti
The deadline for this extra credit opportunity is May 1st. If you have any questions, please reach out
before submission to ensure I find the PowerPoint sufficient for the quiz drop.