In this Capstone you will recommend a business strategy based on a data model you’ve constructed. Using a data set designed by Wharton Research Data Services (WRDS), you will implement quantitative models in spreadsheets to identify the best opportunities for success and minimizing risk. Using your newly acquired decision-making skills, you will structure a decision and present this course of action in a professional quality PowerPoint presentation which includes both data and data analysis from your quantitative models.
Wharton Research Data Services (WRDS) is the leading data research platform and business intelligence tool for over 30,000 corporate, academic, government and nonprofit clients in 33 countries. WRDS provides the user with one location to access over 200 terabytes of data across multiple disciplines including Accounting, Banking, Economics, ESG, Finance, Insurance, Marketing, and Statistics.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Business and Financial Modeling
Wharton Business and Financial Modeling Capstone
4.6
(309 ratings)
3,004 bereits angemeldet!
von
Über diesen Kurs
17,045
17,045Kompetenzen, die Sie erwerben
Summary StatisticsFinancial ModelingDiversification (Finance)Investment
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
11 Stunde zum Abschließen
Getting Started
Welcome! This opening module was designed to give you an overview of the Business and Financial Modeling Capstone, in which you will be working with historical financial data to calculate individual returns and summary statistics on those returns. The project has multiple steps, which are outlined below in the "Project Prompt", and culminates in a recommendation for portfolio allocation that you will prepare a presentation on. You will draw on elements from all courses to complete this project, and you can use your final presentation as a work sample to improve your current job or even find a new one. Before moving on, complete the "Project Scope Quiz." The work you do this week enables you to understand the steps needed to successfully complete your final project.
3 Lektüren, 1 Quiz
3 Lektüren
Project Description - Read me first!10m
Project Prompt10m
Historical Stock Data10m
1 praktische Übung
Project Scope Quiz10m
Woche
23 Stunden zum Abschließen
Steps 1 and 2: Yahoo Finance
In this module, which correlates to Steps 1 and 2 in the Project Prompt, you'll be working with a historical data set to calculate performance data and to provide summary statistics on that data. These calculations will allow you to practice using Spreadsheets for financial calculations, and provides the foundational skills and numbers for the next steps of the project. First, you'll use the set to calculate daily returns on a set of securities. You'll then use your Spreadsheet skills to calculate summary statistics. You'll be given the opportunity to test your knowledge with a sample return to see if your calculations are correct. And you may want to refresh your recollection of the content from the Specialization with the lectures included here. The work you complete this week allows you to form the basis for comparing stock performance, which you will use in creating the investment portfolio for your final project as well as the comparison to the performance of a single stock.
6 Videos (Gesamt 101 min), 4 Lektüren, 2 Quiz
6 Videos
How Models are Used in Practice (Fundamentals of Quantitative Modeling)10m
Mathematical Functions (Fundamentals of Quantitative Modeling)20m
Navigating a Spreadsheet and Crafting Formulas (Introduction to Spreadsheets)19m
How To Build an Optimization Model: Hudson Readers Ad Campaign (Modeling Risk and Realities)13m
Data and Visualization: Graphical Representation (Modeling Risk and Realities)22m
4 Lektüren
More on Close Price versus Adjusted Close Price10m
More on the Sharpe Ratio10m
Sample Returns Spreadsheet (AAPL)10m
PDFs of Refresher Video Slides10m
2 praktische Übungen
Daily Returns Quiz20m
Summary Statistics Quiz20m
Woche
33 Stunden zum Abschließen
Step 3: Creating an optimal risky portfolio on the efficient frontier
In this module, you'll go beyond calculating simple returns to tackle the more advanced task of finding the minimum variance and "optimal risk portfolio" weights for a portfolio of selected securities (note, the "optimal risky portfolio" is also known as an "optimal portfolio" or "tangent portfolio"). You'll follow the tasks in Step 3 in the Project Prompt and use the resources below to calculate the portfolio weights for two securities that results in the portfolio with the minimum variance; then, you'll calculate the "optimal risky portfolio" on the efficient frontier for these same two securities, then for all 10 stocks in the pool. You'll be quizzed on your calculations and other insights that emerge from this exercise. The work you complete this week gives you practice in creating an optimal risky portfolio, which is a key component of your final project. Note: There are a number of resources available on the internet providing step-by-step instructions on how to use Excel to create an "optimal risky portfolio" on the efficient frontier given a certain set of available assets. We encourage you to attempt to use the skills you gained during the Specialization to work through these steps independently; you are, however, permitted to utilize third-party resources if you find it necessary. We've included some lectures from the underlying Specialization courses concerning Solver, optimization, and other relevant topics.
7 Videos (Gesamt 116 min), 5 Lektüren, 1 Quiz
7 Videos
Present and Future Value (Fundamentals of Quantitative Modeling)15m
Optimization (Fundamentals of Quantitative Modeling)13m
Linear Programming (incl. Solver) (Introduction to Spreadsheets)9m
Optimizing with Solver, and Alternative Data Inputs (Modeling Risk and Realities)26m
Adding Risk: Managing Investments at Epsilon Delta Capital (Modeling Risk and Realities)18m
Using Scenarios for Optimizing Under High Uncertainty, Sensitivity Analysis and Efficient Frontier (Modeling Risk and Realities)15m
5 Lektüren
Videos Explaining the Efficient Frontier and Optimal Risky Portfolio10m
More on Portfolio Variance10m
More on the Efficient Frontier10m
More on Short Selling10m
PDFs of Refresher Video Slides10m
1 praktische Übung
The Minimum Variance and Optimal Risky Portfolio20m
Woche
41 Stunde zum Abschließen
Step 4: Optional exercise using CAPM tables
The Capital Asset Pricing Model, or CAPM, is another tool used by investors to weigh the risks and rewards of potential investments. In this optional module covering Step 4 in the Project Prompt, you can use CAPM as a vehicle to further strengthen your financial modeling skills, including using regression concepts. You may revisit the Specialization lectures below touching on regression. To test whether you've grasped the concepts in the CAPM model, this module includes a short quiz. This assessment is formative, meaning your score will not count towards your final grade. The work you do this week may inform how you build the mixed asset portfolio of your final project, but it is not necessary to complete the final project.
3 Videos (Gesamt 30 min), 3 Lektüren, 1 Quiz
3 Videos
Use of Regression Models (Fundamentals of Quantitative Modeling)15m
Correlation and Regression (Introduction to Spreadsheets)7m
3 Lektüren
Video on the Capital Asset Pricing Model (CAPM)10m
More on the Capital Asset Pricing Model10m
PDFs of Refresher Video Slides10m
1 praktische Übung
Capital Asset Pricing Model10m
Woche
53 Stunden zum Abschließen
Step 5: Creating Your Asset Allocation & Final Presentation
In this final module you are asked to move beyond a stock-only portfolio to one utilizing more diversified assets and to prepare a short presentation summarizing your findings. As explained in Step 5 of the Project Prompt, you have $5 million to invest in the Vanguard Total Bond Market Index Fund (ticker: VBTLX) and Vanguard 500 Index (ticker: VFIAX) investment vehicles. There are two assessments in this module. First, you'll complete a short quiz on the characteristics of your optimal risky portfolio. Then, in the peer review component of this Capstone, you are tasked with preparing a short presentation that (i) explores how your portfolio of mixed asset class of funds compares to a single security (AAPL) and (ii) uses that comparison to discuss the importance of portfolio diversification.
1 Lektüre, 2 Quiz
1 Lektüre
VBTLX and VFIAX Monthly Returns10m
1 praktische Übung
Working with a Diversified Portfolio10m
33%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
36%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
22%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Top-Bewertungen
Good course that helps understand different considerations to take into account when creating models. Well laid out Capstone project to help understand portfolio diversification and Optimal Portfolio.
Really a great set of courses to understand and apply models to many different scenarios. I was able to use the skills I learned right away in my profession. Would definitely recommend.
Dozenten
Richard Lambert
Professor of AccountingAccounting- Wharton School
Robert W. Holthausen
ProfessorAccounting
Don Huesman
Managing Director, Wharton OnlineInnovation Group- Wharton School
Richard Waterman
Professor of StatisticsStatistics-Wharton School
Über University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Über die Spezialisierung Business and Financial Modeling
Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
Wie erfolgen Rückerstattungen?
Ist finanzielle Unterstützung möglich?
Haben Sie weitere Fragen? Besuchen Sie das Hilfe-Center für Teiln..
Coursera arbeitet mit erstklassigen Universitäten und Organisationen zusammen, um Online-Kurse anzubieten und dadurch universellen Zugriff auf die weltweit beste Ausbildung zu ermöglichen.
© 2019 Coursera Inc. Alle Rechte vorbehalten.
