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smarts

Jan 04 2022

Creating Leveraged Investment Portfolios

Leveraging Investment Portfolios

Summary

In this post, we’ll model a 1x leveraged investment portfolio of JNK – SPDR Blmbg Barclays High Yield Bond ETF. Next, we’ll model using a 50 / 200 moving average of JNK to add and remove the leverage.

Said in simple terms, we’ll leverage the portfolio when the 50 day is over the 200 day average. When the 50 day drops below the 200, we’ll de-lever and just hold JNK.

All modeling is done with FT Cloud and FTCloud’s static model. Watch a quick overview of the Static Model here. Sign up for a free trial here:

Start your 14 day Free Trial

What is Leverage

Leveraging a portfolio is when an investor borrows money to purchase securities. If the securities purchased with borrowed money appreciate, you enhance your profits without using your own capital. If the purchased securities produce a loss, you repay the debt at par and magnify the loss on investment.

Fire In Your Living Room

Leverage can greatly magnify gains and losses. Certain investors live and die by leverage, but it’s not something to employ lightly. I recently had a user describe it to me like this: “It’s like building a fire in the middle of your living room. While that fire will heat your house and keep you warm, if you don’t keep on top of it will burn the place down.”

Modeling Leverage

We’ll jump right into FT Cloud. We’ll use the Static Model to accomplish our goals.

Leverage Mutual Fund and ETF portfolios

First, navigate to the (1) Data >> Static Model tab. Then look in the (2) lower middle of the screen for the leverage details. The leverage info gives you the % leverage, margin rate, and % cash in the portfolio.

Leverage Mutual Fund and ETF portfolios

To create a leveraged model, allocate weighting to the portfolio that adds to more than 100%. The above picture shows an example portfolio with a 250% allocation.

Relating this to a $100,000 portfolio, the above example would have the following positions:

SPY – $150,000
TLT – $100,000
Total – $250,000

Margin Rate

The margin rate is the cost of borrowing funds. This is expressed in an annual percentage rate. The interest compounds each time the portfolio rebalanced. A monthly rebalance has monthly compounding interest and a weekly model has weekly compounding interest.

Set the global margin rate on the Login>>Advanced Options screen.

Leverage is the total leverage on the portfolio. In the above 250% leverage example, $100,000 is the original capital position, and the $150,000 is the leveraged position. $150,000 / $250,000 = 150% leverage.

The cash position is the balance in cash for any models that have under 100% allocations. A model with a single SPY position of 80% will show a cash position of 20%.

Calculate the Portfolio

Once we have our details dialed in, we need to crunch the portfolio. In FT Cloud, we’ll create an FNU by clicking the “Create FNU” button.

This saves an FNU file to your local disk and adds a new ticker to your FT Cloud database. The value in the “ticker” field is used as the portfolio’s new ticker. Use this ticker anywhere in FT Cloud.

Checking the Work

Open Log will open the windows folder where all leveraged model logs are stored. The leverage log is a .CSV file that has the following columns:

  • Date – Market date of values
  • Non Levered Portfolio – value of the underlying non-levered static model. In the above 250% example, this would be the values of a 60% SPY, 40% TLT portfolio. To calculate the model FT Cloud creates a non levered static model with the following weightings: $150k / $250k = 60% SPY and $100k / $250k = 40% TLT portfolio. Once this 60/40 portfolio is calculated, then FT Cloud applies 150% leverage to the 60/40 portfolio.
  • Running Total Non Levered Portfolio – The daily value of the un-levered portion of the portfolio. This is a “show your work” value. It acts oddly by jumping in value at the beginning of every month. This is due to the resetting of the un-levered value to the previous day’s [Levered Portfolio Value] (plus the day’s price change)
  • Original Borrowed Amount – the amount borrowed at the beginning of the investment period. This value resets every time the portfolio is rebalanced. This value change does not change throughout the period. ie. you borrow a fixed dollar amount on the first day of the month, then repay that same fixed dollar amount at the end of the period.
  • Borrowed Amount Value – the daily value of the borrowed funds. On the first day, the original borrowed amount is invested with the same allocations as the nonlevered portfolio. Each day the [Borrowed Amount Value] changes according to the change of the [Non Levered Portfolio]
  • Period Cost – the fractional portion of the annual interest charged over the investment period. This also remains unchanged during the period. Since we borrow a fixed value on day 1, the interest is charged off that fixed value. This is calculated as:
    ( [margin rate] / [rebalance frequency] ) * [Original Borrowed Amount]
  • Daily Cost – the period cost divided by the number of market days in the investment period. For the same reasons, this value does not change during the investment period.
  • Net Return on Borrowed Amount – This is the result of the following equation:
    [Borrowed Amount Value] – [Original Borrowed Amount] – [Daily Cost]
  • Levered Portfolio Value – This is the result of the following equation:
    ( [Previous Day Running Total Non Levered Portfolio] * [Daily return of Non Levered Portfolio] ) + [ Net Return on Borrowed Amount]

Click the link below for a google sheet log of the above leverage model. Columns A-I shows the regular log values. Columns K-Q show the work of how the values are derived.

https://docs.google.com/spreadsheets/d/1WSRegP95Hz_BbEaSQj1-psvlRfmmH0nxusy5zA1IeOE/edit?usp=sharing

Written by FT Cloud · Categorized: Strategy · Tagged: investing, knowledge base, leverage, simple strategy, smarts

May 31 2018

FT Data Status API

There are two things that define FastTrack: High quality dividend adjusted data and customer support. As a company, we see both on equal footing.

Customer Support

Enhancing the latter, we’re proud to announce the Data Status API. This is a simple API to programmatically verify you’re local copy of the FastTrack databases are the latest and most up to date version.

We’ve also enhanced our data status web page. Here we publish and format the results of the API so you can now verify the FastTrack data status via your desktop or mobile device.

If you or your company is currently, planning, or interested in automating your data download. This is a valuable tool to verify your download has completed successfully.

We’re moving the ball forward on our tech stack and on our data transparency. Let us know if you have any question.

Documentation

https://fasttrack.net/data-status-api/

Status API Documentation:
https://docs.fasttrack.net/docs/ftlightning/ad1cc0b0b84ef-data-update-status

Data Status Page:
https://fasttrack.net/data-status/

Market Data API

Market Data API
FastTrack Bond API

Written by FT Cloud · Categorized: Data News · Tagged: api, smarts, support

Mar 26 2018

Smart Beta and High Yield

We’re highlighting smart beta and actively managed ETFs again this week. While still a small portion of the overall market (see the attached article), increased market volatility and rising interest rates are bringing investor interest back to active.

For now, mostly in bond products, but re: the attached article, international and emerging market products are picking up, with $239 billion in fund flows last year vs $692 billion flowing into passively managed funds

Here’s how you would use FT Cloud to investigate the investment prospects of the active high yield funds highlighted in the article.

  1. Load spreadsheet and click “Load Family” in upper right. 
  2. Expand the tree to “Funds & ETFs” >> “Fixed Income” >> High Yield. Double click high yield to load all high yield tickers into the grid on the right.  
  3. Next, expand “Funds & ETFs”>> “Company”>> “ETF.” Then single click “All-ETF” and the press the “And” button on the upper right. This remove any tickers that are not in both the “High Yield” and “All ETF” family. This will leave us with only the High Yield ETFs.
  4. Next click load and start analyzing the ETFs in the spreadsheet. Rank by risk, return, correlation, and performance compared to the benchmark. See last weeks article on how to choose a benchmark (https://goo.gl/fCQgHd)

https://www.cnbc.com/2018/03/19/seeking-downside-protection-investors-check-actively-managed-etfs.html

Written by FT Cloud · Categorized: Family, Market Commentary, Strategy · Tagged: commentary, etf, investing, knowledge base, smart beta, smarts, spreadsheet, strategic beta

Sep 30 2015

Sieve Practical Example

layer

In this post, I’ll walk through a typical use case of a fund sieve.

Investors Question: “I have a Fidelity retirement account. Where do I start?”

For this really simple example, we’re going to load all the funds in the Fidelity family. Then remove all funds that are not in the Giant family. Then we’ll remove all funds that have a front end load.

 

  1. First, sign in to FT Cloud, open the spreadsheet tab (labeled “FT Cloud”), and click the “Load Family button in the upper right.FT Cloud Sieve
  2. Next, we’re going to load the Fidelity family (Funds>>Company>>All>>Manage Large Number of Funds >> Fidelity)FT Cloud Sieve
  3. This next step is the important part. The Fidelity family has 913 funds. We want to pare this down to a more manageable, actually invest-able list. To start, we’re going to press the “and” button with the “FundSize-Giant” selected. This will keep only the Fidelity funds that overlap with the Giant funds family (ie… remove all tiny funds, super specific funds, etc).FT Cloud Sieve
  4. Next, we’ll whittle a little more and remove all funds in the “Loads-Front” family by pressing the “Remove-” button with “Loads-Front” selected.
  5. Press the load button in the lower right to load the final 197 funds.

So, to summarize. We used the sieve to remove a variety of “unwanted” funds. We started with the 913 Fidelity family, then we worked our way down to the 197 funds that make the most sense for the fund scan/sieve.

 

 

Written by FT Cloud · Categorized: Strategy · Tagged: families, family, investing, knowledge base, sieve, smarts

Jun 26 2014

Translating GDP Declines into Investment Advice

All over the web we see economic indicators reaching new highs and lows, but investors often confuse economic information with investment information. There is a major disconnect between the economy and the stock market and its easy to see with FastTrack charts.

Ignorance has no bounds . . . the story in 5-years will be the same with the economy up or down

Check out the FastTrack charts below and see that despite the negative economic news, the investment environment over the last 5-years far rosier than the numbers suggest.

In this post we’ll use an article in today’s WSJ as a baseline “economic report” and break it down sector by sector. June 25, 2014 article for THE Wall Street Journal by Jonathan House.

Health Care

Looking at healthcare, the article notes “…consumer spending growth was lowered to 1% from 3.1% previously, largely because health-care spending was weaker than previously estimated.”

VGHCX vs SPY
VGHCX vs SPY

The green line is VGHCX, the Vanguard Health Fund and the red line is the S&P 500. “Weaker healthcare spending” surely didn’t equate to lower health care returns. VGHCX posted a 8.85% return in the first quarter of 2014. We saw a pull back after the first quarter GDP figures were released, but the March drop didn’t come close to wiping out the overall first quarter gains.

For the last 25-years while the economy has been on a roller coaster, VGHCX has risen even faster than the broad US Market (SPY S&P-500 exchange traded fund is the red line in the chart above), and the ride is not over.

 Construction

SPY vs FSHOX
SPY vs FSHOX

From the article, “We see a 6.5% fall in housing starts and a 4.2% fall in spending.” This is in tune with FSHOX, the Fidelity Select Construction and Housing fund (shown in green). FSHOX foundered in the second quarter… but more importantly, why worry about it when there are so many other bright segments of the economy (like Health above).

Commerce

  • “Commerce had previously estimated output fell by 1% in the first quarter…”
  • “Exports also declined…“
  • “Economists surveyed predicted Wednesday’s report would revise GDP growth down to a 2% decline.”
  • “Six month growth is below the 2% average since 2009 and below the U.S. economy’s longer-term growth rate of over 3%.”

“It does not sound like the economy has reached escape velocity no matter how you try to spin it,” said Chris Rupkey, an economist at Bank of Tokyo-Mitsubishi. “It’s going to take some big numbers the rest of 2014 for the economy to hit 2% growth.”

SPY vs 3%
SPY vs 3%

Reading just the article, it sounds like everything has been crummy since 2009. Yet, this is a period in which the red SPY (broad market) has risen 24% annually. I am not sure how to measure the cited “escape velocity”, but this looks good to me..

The article mentions 3% growth so we put in a 3% green line(annualized return). What is clear is that GDP growth has little to do with the ability of US companies to change, belt-tighten, and grow profits despite the economy. If you had money in a mayonnaise jar buried in the backyard, you missed one of the greatest rallies in history.

Corporate Profits

The article cites “five years into the recovery . . . Corporate profits after tax, without inventory valuation and capital consumption adjustments, rose [a paltry] 0.1%

2009 Dividend Payout
2009 Dividend Payout

2014 Dividend Payout
2014 Dividend Payout

In 2009 (upper chart), the 500 biggest companies in the US held by the SPY fund paid out 2.44% in dividends (a share of the profits). This was at the pit of the recession discussed in the article. Note in 2013-2014, these same companies paid out 2.30% in dividends, of course, this is misleading. Since the SPY fund has gained 139% over the five year span of 2009-2014, the actual cash paid in 2014 was more than twice the amount paid in 2009.

What’s the Punch Line?

If you’re investing, the right information is critical. There’s tons of noise on the web, but simple charts and quality data are a great way to get organized and understand the real market story.

FastTrack training and daily charts have all the information an investors needs to become wealthy. The economy performed poorly over the last 5-years, but news reports of older employees having to postpone their retirement is only true of those who were unaware of the stock market reality.

Ignorance has no bounds . . . the story in 5-years will be the same with the economy up or down.

Get the full story. Call 866-295-0166 for a free trial of FT4Web for individual investors and FTCloud for professional investors.

Written by FT Cloud · Categorized: Market Commentary · Tagged: commentary, GDP, health care, investing, Paul Charbonnet, smarts, spy, WSJ

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