Showing 471 – 480 of 3828 results
Should You Buy a Home? 5 Things to Do First | Charles Schwab
Think you're ready to buy your first home? Do these five things before stepping into that first open house.
Using Chart Drawing Tools on thinkorswim® Desktop | Charles Schwab
Learn how to add drawings in charts, draw trendlines, price levels, and Fibonacci retracements to help you identify trend as well as support and resistance.
Using the Sortino Ratio to Gauge Downside Risk | Charles Schwab
The Sortino ratio focuses only on the downside risk of a portfolio, which is what short-term investors may want if they've got a short-term goal. The higher the Sortino ratio, the better the risk-adjusted return.
What Is the VIX®? | Charles Schwab
Explore the Cboe Volatility Index®, or VIX®, traders use to measure volatility and make trading decisions. This video is part of our Trading Options course.
Health Care Costs in Retirement: Are You Prepared? | Charles Schwab
Medical bills can put a strain on your retirement income. Explore four ways you can plan ahead to help avoid high health care costs in retirement.
How a Dividend Reinvestment Plan Works | Charles Schwab
A Dividend Reinvestment Plan, or DRIP, is the process of automatically reinvesting dividends into additional whole and fractional shares of a company's stock.
Creating a Family Wealth Mission Statement | Charles Schwab
Lack of communication could harm a family's ability to preserve wealth across generations. Learn how creating a wealth mission statement can help.
Are Behavioral Biases Costing You Money? | Charles Schwab
When it comes to money, sometimes it's difficult to make rational decisions. Discover how behavioral biases could be impeding your financial goals.
Required Minimum Distributions: What's New in 2025 | Charles Schwab
Planning ahead for required minimum distributions (RMDs) can help you manage retirement income and potential tax consequences. Learn about RMD rules for 2025.
Survey Says: With Guests W. Joseph Campbell & Emily Oster | Charles Schwab
One of the most common mistakes we make with data involves choosing the wrong population to study.