Sasha Indarte

Sasha Indarte
  • Assistant Professor of Finance

Contact Information

  • office Address:

    2300 Steinberg-Dietrich Hall
    3620 Locust Walk
    Philadelphia, PA 19104

Teaching

Past Courses

  • FNCE100 - CORPORATE FINANCE

    This course provides an introduction to the theory, the methods, and the concerns of corporate finance. The concepts developed in FNCE 100 form the foundation for all elective finance courses. The main topics include: 1) the time value of money and capital budgeting techniques; 2) uncertainty and the trade-off between risk and return; 3) security market efficiency; 4) optimal capital structure, and 5) dividend policy decisions. ACCT 101 + STAT 101 may be taken concurrently.

  • FNCE611 - CORPORATE FINANCE

    This course serves as an introduction to business finance (corporate financial management and investments) for both non-majors and majors preparing for upper-level course work. The primary objective is to provide the framework, concepts, and tools for analyzing financial decisions based on fundamental principles of modern financial theory. The approach is rigorous and analytical. Topics covered include discounted cash flow techniques; corporate capital budgeting and valuation; investment decisions under uncertainty; capital asset pricing; options; and market efficiency. The course will also analyze corporate financial policy, including capital structure, cost of capital, dividend policy, and related issues. Additional topics will differ according to individual instructors.

Knowledge@Wharton

GameStop Fallout: Why Regulation Could Hurt Index Investing

Regulators looking to prevent stock price manipulation must not harm the price discovery process that indexers depend on, says Wharton’s David Musto in an interview with Wharton Business Daily on SiriusXM.

Knowledge @ Wharton - 3/2/2021
What’s Mine Is Ours: How Consumption Is Changing

Firms benefit when consumers feel they “own” a product. But in the sharing economy, goods and services are becoming more experiential and impermanent. New research co-authored by Wharton’s Deborah Small explains this shift and offers marketing strategies to help preserve that feeling of “mine.”

Knowledge @ Wharton - 3/2/2021
How Artificial Intelligence Can Slow the Spread of COVID-19

A new machine-learning approach to COVID-19 testing that was developed by Wharton’s Hamsa Bastani and other experts has produced encouraging results in Greece by identifying more asymptomatic, infected travelers than what conventional random testing would have achieved.

Knowledge @ Wharton - 3/2/2021