Is U.S. economic growth actually peaking? The analysts at Schwab look below the surface to deliver a forecast. It can be hard to know when to retire. Dennis D. Coughlin, CFP, AIF, offers 3 exercises you can use to see if it’s the right time for you.  People over 50 continue to be top scam targets. Kiplinger covers the 4 most common scams and how to beat them.

Schwab Market Perspective: Beneath The Surface — Although the U.S. economic growth rate may be peaking, economic growth itself likely isn’t. Even in the Treasury bond market, recent calm may be hiding risk below the surface. Investors are advised to keep the average duration of their bond portfolios below their preferred benchmark. Read more…

3 Exercises Help Reluctant-To-Retire Folks Know When To Say When — Many entrepreneurs have their financial affairs in order, and yet they are simply not ready to retire. Regardless of the financial capabilities afforded to them, psychologically, it is difficult to stop working. Here are three exercises to help you know when it’s time for you to retire. Read more…

Scam Alert: 4 Types Of Fraud That Target The Elderly (And How To Beat Them) –Those in or near retirement can’t afford to fall for scams. Retirees are on a fixed income, so losing money to fraud is especially detrimental to them, as the money lost often cannot be replaced. Here’s how to avoid 4 common scams. Read more… 

 

John R. Day, Bill Ennis, Stephanie Hall, and Matt Heller

Disclosure – The articles mentioned in Mid Week with Day & Ennis are for information and educational purposes only. They represent a sample of the numerous articles that the firm reads each week to stay current on financial and economic topics. The articles are linked to websites separate from the Day & Ennis website. The opinions expressed in these articles are the opinions of the author and not Day & Ennis. This is not an offer to buy or sell any security. Day & Ennis is under no obligation to update any of the information in these articles. We cannot attest to the accuracy of the data in the articles.