It’s critical that, as advisors, we maintain the integrity of the trade by representing our products acurately. Let’s analyze the myth of the policy loan.
Read MoreDebunking the Myth of the Policy Loan
Analyzing Interest Rates: When Is 2.99% More Than 5%?
When analyzing deals, you must pay attention to more than the interest rates alone. In the past few weeks, GM published an offer for a 2020 Escalade. The offer was either for 2.99% APR, or a $9,500 rebate. Is the offer all it’s cracked up to be? Let’s find out. The MSRP, or sticker price, of the Escalade is $76,490. The Dealer was offering it at a $1,500 discount. So $74,934. In order to get a full understanding of the difference between these two deals, we’ll use the Loan Analysis
Read MoreWhat’s the Difference Between IRR and ROR?
Many advisors focus on the internal rate of return when analyzing a policy, but it neglects the whole truth. So what’s the difference between IRR and ROR, and why does it matter?
Read MoreAre Banks Safe? The Top Alternative to Saving in a Bank
Where are you storing your cash? What are the implications of that choice? Because when it comes to liquidity, growth, and certainty—banks might not be your best bet. We suggest adding cash value insurance to your financial strategy. The Importance of Cash You’ve heard the phrase, “Cash is King.” What it suggests is that cash, and cash flow, are more valuable than any other investment tools. The phrase itself is widely used in the world of finance, but we think that it applies a little differently. When it comes to your money,
Read MoreHow-To: Monte Carlo Simulations in Accumulation
The Accumulation calculator has always been particularly useful in depicting how the stock market can affect your assets, but now it’s even better. A few updates ago, Todd introduced a feature that can reverse or randomize the S&P rates, so that you can more effectively show “Monte Carlo” scenarios. If you haven’t tried it yet, I’ll show you how. The benefits? Not only can you back up your knowledge with how the market has performed in the past—you can demonstrate how slippery it can be to rely on chance. Because
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