I have decided to record all my classes for the entire semester using Mediasite and not require in-person attendance. The recordings will be auto-posted to Brightspace. I dislike recordings intensely because they constrain what I say and ruin the classroom interaction, but I have to balance that against Covid infections.
Please contact NYU IT (email@example.com, 212-998-3333) or NYU Stern IT (firstname.lastname@example.org, 212-998-0180) for all ZOOM/email/NYU Brightspace/Admin/CapitalIQ issues. Please do not copy/contact me regarding such issues. If NYU/Stern support cannot help you, please contact Student Affairs/Dean's office. All emails are sent to the email address in the NYU Brightspace roster. NYU Brightspace lists @nyu.edu email for some of you and @stern.nyu.edu email for others. This mess is beyond my control. Please contact NYU/Stern support to learn how to read/forward/check spam for @nyu.edu and @stern.nyu.edu accounts. Their instructions are rather poor. Students do not realize that they are logged in as a Stern student and think they are checking their NYU email when they are still checking NYU Stern's email. Please use a new browser to ensure that you check NYU's email. Do not write to Almaris or me if you are not getting Almaris emails sent to the NYU email address because this issue is between NYU and you.
Please make sure you read the Announcement in NYU Brightspace for this course and read the details about highly recommended prework.
MBA ACCT-GB-3304 Specializations:
- Financial Systems and Analytics
Various management disciplines teach you how to analyze and forecast
parts of a business. Building on this foundation, this course will
help you weave your forecasts into coherent spreadsheet-based pro-forma
financials. Modeling financial statements
provides a reality check on the forecasts, enables “what if”
analysis, provides an integrated view of the business, and is a
key step in valuation and credit risk analysis.
The course is indispensable to careers in investment banking, private equity,
buy-side or sell-side research, credit research, corporate finance, valuation, project finance, and due diligence advisory. It gives a competitive edge during interviews, internships, and jobs. First-year and second-year
students can both take this course.
Help and Office
- Me: email@example.com,
212-998-0021, Office: KMC 10-86.
- Teaching assistant: Please check NYU Brightspace
- You need to be able to devote 6-8 hours every week to do the required assignments.
- You need to bring a computer to every class. If you have any technical questions, please contact the IT department (212-998-0180), NOT me.
- I will be using Excel 365. Any version from Excel 2010 onwards should work for you, but the older versions may be missing some of the required features. You can get Office 365 for free from Microsoft because you are a student. Given the limited class time, I will not show how to replicate Excel Windows on Excel Mac.
- You need to be in the following systems before the start of the first class:
- NYU Brightspace
- If you are a non-Stern student, Stern automatically creates a Stern account for you when registering for a Stern course. All class emails are sent to your Stern email, not NYU email. Please forward your Stern email to your NYU email.
- I do not control your access to dgode.stern.nyu.edu. It is linked to
whatever Stern has entered in the class roster. I cannot override it.
- In case you are blocked from accessing these systems, please ask the administration to expedite matters. Given the complexity of these systems, I cannot manually add you to any system.
- Only registered students can attend. I cannot override this NYU rule.
Materials and Course Design
- I use my materials. Therefore, there is no required textbook, and you need not purchase anything.
- Classes are not videotaped unless there is a special session.
- Review your core concepts carefully.
- The assignments appear as tests on Almaris. I may update the deadlines as the course progresses. The deadlines shown at Almaris are the correct deadlines.
- Some assignments are short; others are long. Please manage your time.
- NO EXTENSIONS will be granted for any reason except medical or family emergencies. If you have religious or personal conflicts, please submit the assignments early. The related materials are covered well in advance of the assignments. Please do not email me to request extensions unless you have a medical or family emergency.
- You can collaborate with others while doing
- All assignments are mandatory. After the first day of class, you can view the online assignments at http://www.almaris.com/assess/ using your official Stern email (no aliases) and the most recent password emailed to you by Almaris. The Almaris password is different from the Stern password. To retrieve the password, use your full email with the domain name as it appears in Brightspace. The domain name could be @nyu.edu for some of you, while for others, it could be @stern.nyu.edu. I do not control this mess.
- Assignments are marked “late” if you do not meet or exceed the passing score described below before the deadline. There is no additional penalty for lateness other than the low score.
- Assignments have a “passing score” of either 100% or less than 100%.
- I set the passing score at 100% if you should ace the assignment. In reality, there is no passing grade. Whatever you get on your last attempt is your final score. That is, you are graded on accuracy but not the number of attempts. There is a difference between “passing” and getting full credit. If you get 70/100 on your final attempt, you “pass,” but you do not score a 100.
- I set the passing score of less than 100% on a few assignments if you might not get every question right. Any score above that score is rounded up to 100%. For example, if the passing score is 90%, and you get 93%, your score is rounded up to 100%. I do the rounding up in a separate spreadsheet. You will see only the raw score online.
- Almaris is not affiliated with Stern in any way. It is offering these tests to Stern at no charge.
- Almaris staff is not authorized to extend deadlines under any circumstances. Only my TAs can do that. Almaris staff will reply to your emails only if they pertain to technical issues with the Almaris system. Please contact Stern IT for technical issues with your network.
Exams and Grading
- If you have a qualified disability and require academic accommodation during this course, please contact me directly. I will arrange a separate room/time for you.
- Grades will be based upon the following factors:
- 20%: Attendance, professional conduct in class, and class participation as measured by answering questions in class when I call on you in class.
- You will lose points for every missed class unless you have a medical emergency, family emergency, a confirmed interview, or required work travel for Langone students. No other reasons will be accepted as valid reasons unless you have pre-cleared them with me. If you have a medical or family emergency, do not worry about the course. Take care of that emergency and email me later.
- Please bring your name tags to each class.
- 30%: Almaris assignments described above.
- 50%: Final exam. Instructions you will see before the exam.
- Please login to Almaris as soon as you receive these instructions in an email from me. You will see inactive links to your exams and instructions.
- The instructions at the top of the login screen will tell you how many parts the exam has and their weights.
- Please report any problems such as wrong deadlines or missing parts of the exam to me immediately.
- Login to Almaris right before your exam. Refresh your screen to see active links for the exam.
- Your final score on each part of the exam will be max(score1, score2 - 7, score3 - 14, score4 - 21, score5 - 28).
- You are required to answer all questions without any help from another student or anyone else. Any such communication will be construed as cheating. If you have any doubts, email the TA AND me. Whichever one of us reads the message first will respond. If the exam is held in class, you can ask the proctor.
- Please keep your email open during the exam and check it periodically. Any updates/corrections will be sent via email.
- Manage your time. Extra time will NOT be allowed.
- The exam is an open book and open notes exam.
- The exam covers the entire course.
- If you want us to grade your incomplete or incorrect spreadsheet manually, submit it within FIVE MINUTES of the end of the exam. Do not email it; look for File Exchange in the left-hand menu bar on NYU Brightspace. If you submit the spreadsheet for manual grading, you would be considered to have used up your five attempts. Therefore, your maximum score on that spreadsheet can only be 72/100 due to the penalty for multiple attempts.
Important computer tips for the final
- DO NOT WORK ON A SPREADSHEET WITHIN A BROWSER. Save the spreadsheet to your computer, work on it, and save it periodically. If you navigate away from the spreadsheet in a browser, ALL YOUR WORK WILL BE LOST.
- Organize your computer files and designate a directory where you will be saving your exam files.
- Restart your computer before the exam to minimize problems.
- Bring an external mouse with a scroll wheel to speed up test-taking. Do not waste time using the trackpad or the internal mouse.
- Maximize screen space by hiding the Excel ribbon and browser menus. The more of the screen you see, the faster and more accurate you are.
- Bring a computer with as big a screen as possible.
- Do not use an unfamiliar computer.
- There is no midterm. There will be no in-class graded quizzes.
- A detailed document is provided in the course materials. It lists the sequence of topics, related pages from the materials, related spreadsheets, and related assignments. The outline below is a summary.
Deriving cash flows, enterprise or unlevered cash flows
Building blocks of models; Linking cash flow forecasts to value
Designing models, Customers; Suppliers, employees, and other expenses
Multiperiod models: Long-term accruals and deferrals
Excel tools for scenario analysis; Capacity: PP&E and depreciation
Time value of money and bonds
Which cash flows should one discount
Prioritizing assumptions in models; sensitivity analysis