Rice University
Portfolio Selection and Risk Management
Rice University

Portfolio Selection and Risk Management

Arzu Ozoguz

Instructor: Arzu Ozoguz

40,416 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.6

(596 reviews)

22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
91%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(596 reviews)

22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
91%
Most learners liked this course

Details to know

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Assessments

14 assignments

Taught in English

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This course is part of the Investment and Portfolio Management Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

This module introduces the second course in the Investment and Portfolio Management Specialization. In this module, we discuss one of the main principles of investing: the risk-return trade-off, the idea that in competitive security markets, higher expected returns come only at a price – the need to bear greater risk. We develop statistical measures of risk and expected return and review the historical record on risk-return patterns across various asset classes.

What's included

10 videos11 readings3 assignments1 peer review

In this module, we build on the tools from the previous module to develop measure of portfolio risk and return. We define and distinguish between the different sources of risk and discuss the concept of diversification: how and why putting risky assets together in a portfolio eliminates risk that yields a portfolio with less risk than its components. Finally, we review the quantitative tools that help us identify the ‘best’ portfolios with the least risk for a given level of expected return by considering a numerical example using international equity data.

What's included

16 videos12 readings4 assignments2 peer reviews1 discussion prompt

In this module, we describe how investors make choices. Specifically, we look at how utility functions are used to express preferences. We review measures to describe investors’ attitude towards risk. Finally, we discuss how we can summarize investors’ preferences using a specific utility function: mean-variance preferences.

What's included

7 videos7 readings3 assignments

In this module, you will learn about mean-variance optimization: how to make optimal capital allocation and portfolio choice decisions when investors have mean-variance preferences. This was one of the ground-breaking ideas in finance. We will formally set up the investor’s portfolio choice problem and learn step-by-step how to solve for the optimal allocation and risky portfolio choice given a set of risky securities. You will also have an opportunity to apply these techniques to a numerical example. This module is slightly more technical than the others. Stick with it… you will not regret it!

What's included

10 videos12 readings2 assignments1 peer review

In this module, we build on the insights obtained from modern portfolio theory to understand how risk and return are related in equilibrium. We first look at the main workhorse model in finance, the Capital Asset Pricing Model and discuss the expected return-beta relationship. We then turn our attention to multi-factor models, such as the Fama-French three-factor model.

What's included

9 videos7 readings2 assignments

Instructor

Instructor ratings
4.5 (60 ratings)
Arzu Ozoguz
Rice University
4 Courses147,669 learners

Offered by

Rice University

Recommended if you're interested in Finance

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4.6

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