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2. I use a cool portfolio visualization tool called @PersonalCapital to let me see what’s going on with my various investments and compares to benchmarks👇. Wait a second! Even though the S&P 500 *index* fell 6.2% last year, those stocks paid about 1.8% in dividends. R≈-4.4%!
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3. I started to worry that @PersonalCapital was benchmarking *returns* against a *price change*. You can imagine why an advisor¹ might want to set themselves up for an unfair fight by ignoring stocks’ ~1.9% div yield. ¹I don’t use PC for advice, just viz. @lukestein/1112947221115232256
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4. But the story has a happy (?) ending: @PersonalCapital apparently *also ignores dividends in calculating MY performance* 🤦♂️ Comparing this to SPX is a (rotten) apples-to-(rotten) apples comparison. And PC is implicitly penalizing premium bonds and high-DY stocks.
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5/5. It’s not always easy to get finance right. (Even personal finance. Especially personal finance?) It’s not easy to get UX right. But as a producer or consumer of personal finance data, you should know what your data is, and think about the pitfalls of misinterpretation.
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Return ≠ price change bonus tweet, now with ∞% more animated gifs!
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Arithmetic average ≥ geometric average, animated gif edition