We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SKF: Inverse Construction and Volatility
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > SKF: Inverse Construction and Volatility
Predictive Analytics

SKF: Inverse Construction and Volatility

Editor SDC
Editor SDC
8 Min Read
SKF: Inverse Construction and Volatility
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

I previously explained why market returns should be lognormally distributed with positive daily expectation (not continuous). However, imagine a security that is artificially constructed to make daily returns opposite of what it is based on. Then it should have negative daily expectation. This is the Ultrashort Financial Sector ETF, SKF, with a dash of leverage added in.

If you look at the chart of UYG and SKF over one year:

it is obvious that the mean of the two return paths is way less than 0%. UYG is the 2x leveraged financial sector ETF and SKF is the inverse of that. SKF is at +32.99% and UYG is at -89.54% from where they were a year ago. Intuitively you probably expect that the sum of the returns is equal to 0%. If not, it should be possible to constuct a pairs trading strategy which shorts both of them and makes a high return, e.g. -1*(32.99-89.54)/2= 28.75% annualized, with very, very low risk (since they move opposite each other daily).

First of all, how are SKF’s returns engineered?

More Read

PAW: Completing the visitor targeting cycle
PAW: Completing the visitor targeting cycle
Data Devils Snapping At Your Heels
Video: Facebook, Google and Predictive Analytics with R
Announcing the Congress API – Open Blog)The initial release…
Data Mining Data Sets

Some kind of swap- basically a bet on the direction of the financial sector index put out by Dow Jones.

However I find it more intuitive put another way. Consider this thought experiment:
You think the financial sector is going to drop more over the next 3 days- how will you replicate the daily returns of UYG, inverted? For the sake of example, imagine the price of UYG is currently at $100. Your first inclination is to short UYG and then just stay in that position for 3 days. The first day it falls 10%, you now have $10/10% of available, uninvested capital. The next day it is down another 10%, i.e. -9$ = ($100-$10)*-10%. But this only translates to you having made 9%! Next day, another 10% i.e. $8.1 = ($90-$9)*10%. Now it’s way off, only 8.1% when you aimed for 10%. The total is 127.1

Obviously the problem is that you had uninvested profits sitting on the sideline at the beginning of each day. If you cover the short at the end of the first day and then use all your money, $110, to open a new short position on UYG for the next day, when it falls 10% on day 2 you will make 11$. And the next day, covering and reinvesting in a similar fashion you will be up to $133.1 total. The trick is compounding the short position by reinvesting. It’s very, very risky because you essentially buy high and sell low to to match the daily returns (remember- buy low and sell high is supposed to be how to make money).

Take a look at p. 18-20 (20-22 of the pdf doc) of Statement of Additional Information for Proshares Trust. The colored tables show exactly how volatility and expected return interact, which I explored in the previous note. It’s quite well hidden, even the watered down version has only a tiny little link embedded on the SKF product webpage:

Another “problem” with SKF is its excessive leverage. Using data for the year up to 2/9/09, this Excel sheet shows that the optimal leverage would be .569 . Anything less than one means it’s overleveraged. I used Excel’s ‘solver’ add-in to find how much leverage maximized ending wealth, but feel free to test different numbers, including less than 0, de-inverting it. The cell you modify is in orange and the effect on final price can be seen in blue. (fyi spreadsheet methodology: leveraged returns are the daily closing price ratios, minus one, times the leverage multiplier. Finally this is turned back into a stream of prices, with the oldest price on 2/12/08 being the basis- the formulas are simple) Basically SKF is inappropriate for anyone who wants to hold it for a long time because it goes over the optimal Kelly leverage.

I like the Ultrashorts because I’m too young to open my own margin account, but it’s hard to look past the steady historical downtrend of the Ultrashort ETFs. However they make for interesting studies in financial engineering and position sizing and probability. I doubt most investors understand exactly what they are getting. I’ve been doing quite a bit of trading (compared to fundamental long-only “investing”) to enjoy the volatility of the past year and the Ultrashorts can be profitable. It’s nice having a short position that cannot lose over 100% no matter what, unlike a normal short.

Unfortunately it doesn’t look like I’ve found an arbitrage opportunity. Poor performance is just the result of uncommon volatility. Please leave a comment if you have any ideas related to this or anything else – I always may have missed something.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

“What exactly is Business Performance Management...
Business IntelligenceData MiningData WarehousingPredictive Analytics

“What exactly is Business Performance Management…

2 Min Read
What Motivates Analytic Professionals?
Predictive Analytics

What Motivates Analytic Professionals?

1 Min Read
Analytics versus Performance Management – Does Anyone know the Difference?
Business IntelligenceCRMPredictive Analytics

Analytics versus Performance Management – Does Anyone know the Difference?

4 Min Read
Show and Tell (via IBMSocialMedia)
Business IntelligenceData MiningData WarehousingPredictive Analytics

Show and Tell (via IBMSocialMedia)

0 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?