Taming Inverse Volatility with a Simple Ratio

Update This article was first posted in September 2012.  The strategy outlined below worked well until August 2013 and then basically went sideways for over 3 years before perking up again in 2017—when virtually any short volatility strategy worked.  I’ve updated the chart and the verbiage to reflect those changes.  In September 2017 the Cboe renamed its VXV index as VIX3M.  The Cboe does not …

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2023 PIMCO Ex-Div & Pay Dates: BOND, MINT, MUNI, HYS, TIPZ, etc.

The 2023 Ex-Dividend and Pay Date information below is based on my estimates.  I was not able to find official information from PIMCO for 2023.  Monthly Paying Funds 2023 Ex-Dividend Dates (estimates) 1-Feb 1-Mar 3-Apr 1-May 1-June 3-Jul 1-Aug 1-Sept 2-Oct 1-Nov 1-Dec 12-Dec (cap gains) 29-Dec  Pay / Distribution Dates (estimates) 6-Feb 6-Mar 6-Apr 4-May 5-June 7-July 4-Aug 7-Sept 6-Oct 6-Nov 6-Dec 15-Dec (cap …

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Trading Options As a Business

Recently I finished reading a book on options that doesn’t explain the basics of calls and puts.  The Greeks are on almost every page, but never defined, and it’s assumed that the reader already knows options strategies and acronyms (e.g., butterflies, condors, ratio spreads, ATM, OTM). Clearly the “The Option Trader’s Hedge Fund” is not for beginners. It targets serious traders that know the basics and …

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Credit Risk and Exchange Traded Notes

In their fifteen year history, which includes the 2008/2009 financial meltdown, a grand total of three Exchange Traded Notes (ETNs) have gone bust due to credit default—all 3 were issued by Lehmann Brothers.  The total loss to investors was less than $15 million.  This article on ETF.com gives the detailed story. How many public companies have gone bankrupt, rendering their stock worthless, in the last …

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Volatility White Papers: Power Laws & VIX Options Explained

Recommended Papers  Tales of the Unexpected by Andrew Haldane This accessible paper (only one equation) is the best that I’ve ever read on the differences between processes accurately modeled by Gaussian/normal distributions and those better matched by power law distributions.   I have seen this distinction made many times, but this paper provided examples and reasoning that really helped me internalize the differences.   Most of our stock …

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