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Using Economic Indicators To Time The Market

If you pay attention to the financial market news, you may have noticed a lot of attention being focused on the slowing US/Global economy and the implications it has for financial markets. Just do a search on ‘slowing global PMI’ and watch the hours waste away. Basically, the US/Global economy is slowing which means recession is right around the corner, which means financial markets will tank. That seems to be the predominant bear case now, or one of the many. There is some merit to this argument. The worst market downturns occur during recessions. The trick is that you need to know that before the recessions actually happen. In this post, I’ll point you to some research in this area, then focus on just one indicator that does a decent job of forecasting recessions and how it can potentially be used as a market timing indicator on its own. To try and predict recessions, there are all kinds of metric and techniques used (ECRI, Conference board indicators, etc.). You can spend many many hours looking at all of these and their histories. Believe me. Me and an investor friend have spent tons of hours looking at and studying these. And the history of indicators predicting recessions is mixed to say the least. But I won’t bore you with that here. Instead, if you’re interested, you should read this by Philosophical Economics (which I’ll call PhiloEcon) and some of the linked posts in that piece. There is some incredible work and insight in the post (pretty much anything he/she writes is worth your time). Turns out that historically, the change in the trend in unemployment rate has been a pretty good indicator of recessions. It has also been decent at signaling when the economy has come out of a recession. Below is the key chart. Not bad. When the unemployment rate crosses above the 12-month moving average to the upside, a recession is likely coming, when it crosses below the 12-month moving average, the economy is out of the recession. Can this be used to time the stock market? And does it work better than other market timing indicator such as the popular 200-day simple moving average of prices? Basically, yes. You can read through the post and see how using the unemployment rate improves returns and risk over buy and hold and a trend following system. As usual, I wanted to run some numbers myself. Let’s take a look at that. I first wanted to see how the unemployment rate indicator (UI from now on) performed on its own versus buy and hold and other trend indicators, specifically the 200-day SMA and 12-month absolute returns. I also wanted to use real investable products, including fees. I looked at returns going back to the beginning of 1999 through April 26, 2016, for the S&P 500 ETF (NYSEARCA: SPY ), which fortunately started in 1993. This time period encompasses two of the biggest market downturns in history. I compared buy and holding the SPY versus using the 200-day SMA, 12-month total return, and the UI to exit and enter the market. When the timing systems are out of the market they are not invested, i.e. 0% cash return. Below are the results. Very impressive. This simple indicator delivered returns 3.4% per year greater than buy and hold and more than doubled risk-adjusted returns. It also beat both other timing systems by a long shot. In addition, the simple UI system produced fewer false positives and traded a lot less. Definitely worthy of consideration. You can probably see where I’ll be going next with this. In some following posts, I’ll look at adding a risk-free asset to the mix during times of risk-off, combining the UI with other indicators (which is what PhiloEcon has done in the GTT system), and adding some global risk assets to the mix. To give you a preview, they are all better than what I’ve shown here. Finally, before I end this post, what is the unemployment indicator saying right now. Does it support the bear case I noted in the opening paragraph. No, it doesn’t. The current unemployment rate is 5.0% where the 12-month moving average stands at 5.2%. If the unemployment rate increases by 0.1% each of the next two months (April and May – remember the reported unemployment rate is for the previous month), then the rate would cross above the 12-month moving average. We won’t find out until the May unemployment rate is reported at the beginning of June. And we’ll know this week what the April rate is. This seems unlikely but you never know. The FOMC’s own projections don’t support a change but they are notoriously poor forecasters. Others think that more realistically the end of the year would be the time frame we could possibly see a trigger. But there is no need to forecast to use the UI system. For now, if you were using this system it would be risk on still. In summary, historically, the change of trend in the unemployment rate has been a good signal to time the market. Better than the two most popular trend indicators around.

VMAX And VMIN Poised To Be Most Important VIX ETP Launch In Years

REX Shares is launching two new VIX exchange-traded products on Tuesday (5/3/16) in what is likely to be the most important VIX ETP launch in several years. The REX VolMAXX Long VIX Weekly Futures Strategy ETF (VMAX) is the long volatility product, while the REX VolMAXX Inverse VIX Weekly Futures Strategy ETF (VMIN) is the short volatility sibling. The launch of these two products comes at a time when the VIX ETP space had become stale and had frustrated investors who have sought out products for both long and short volatility strategies when Every Single VIX ETP (Long and Short) Lost Money in 2015 . After a flurry of innovation in the VIX ETP space from 2009 to 2011, new product offerings have slowed to a trickle over the course of the past few years, with only the mystifying AccuShares Spot CBOE VIX Up Shares ETF (NASDAQ: VXUP ) and Down Class Shares ETF (NASDAQ: VXDN ) products making it out of the gate last year in a highly-anticipated May 18th launch that pivoted quickly from excitement to befuddlement, as investors were overwhelmed by the complexities associated with the seemingly endless flow of regular distributions, special distributions and corrective distributions. VIX aficionados know that 2015 was also notable in that it marked the launch by the CBOE of VIX weekly futures on July 23rd and VIX weekly options on October 8th. Both product launches were successful and it was just a matter of time before the new VIX weekly futures provided the foundation for a VIX ETP that was based on those futures. While details are sketchy regarding VMAX and VMIN, they will be holding VIX weekly futures and will target a weighted-average VIX futures maturity that is less than thirty days. These ETFs will be actively managed and it is likely that they will not have a fixed target maturity. Theoretically, the target maturity could vary anywhere from five days to 29 days, though given the holdings and the “max” and “min” embedded in the ticker symbol, I would anticipate an aggressive target maturity on the order of 7-14 calendar days. Whatever the target maturity, VMAX will be competing with the iPath S&P 500 VIX Short-Term Futures ETN (NYSEARCA: VXX ) right from the outset, while VMIN will find itself up against the likes of the VelocityShares Daily Inverse VIX Short-Term ETN (NASDAQ: XIV ). The competition trades approximately 100 million shares each day and is certainly vulnerable to new products that have a higher beta and should more closely track the spot/cash VIX on a daily basis. Depending upon the target maturity of VMAX and VMIN, I would not be surprised if these products have 50% more beta than VXX and XIV. For this reason, I would be shocked if, at the very minimum, VMAX and VMIN do not become darlings of the day-trading crowd – a forecast not unlike the one I made on November 14, 2008 in Prediction: Direxion Triple ETFs Will Revolutionize Day Trading . Frankly, this space has been relatively inactive as of late and with VMAX and VMIN, I now have the perfect opportunity to dust off the cobwebs and spit out the analysis and opinions that once came in such machine-gun rapidity that readers came up some far-reaching possible explanations for why I was so prolific . So…consider me back. I’m rested, hungry and ready for some new – and old – subjects to tackle. Disclosure(s): net short VXX and net long XIV at time of writing; CBOE is an advertiser on VIX and More

Ivy Portfolio May Update

The Ivy Portfolio spreadsheet tracks the 10-month moving average signals for two portfolios listed in Mebane Faber’s book The Ivy Portfolio: How to Invest Like the Top Endowments and Avoid Bear Markets. Faber discusses 5, 10 and 20 security portfolios that have trading signals based on long-term moving averages. The Ivy Portfolio spreadsheet on Scott’s Investments tracks both the 5 and 10 ETF Portfolios listed in Faber’s book. When a security is trading below its 10-month simple moving average, the position is listed as “Cash.” When the security is trading above its 10-month simple moving average, the position is listed as “Invested.” The spreadsheet signals update once daily (typically in the late evening) using dividend/split adjusted closing price from Yahoo Finance. The 10-month simple moving average is based on the most recent 10 months including the current month’s most recent daily closing price. Even though the signals update daily, it is not an endorsement to check signals daily or trade based on daily updates. It simply gives the spreadsheet more versatility for users to check at his or her convenience. The page also displays the percentage each ETF within the Ivy 10 and Ivy 5 Portfolio is above or below the current 10-month simple moving average, using both adjusted and unadjusted data. If an ETF has paid a dividend or split within the past 10 months, then when comparing the adjusted/unadjusted data you will see differences in the percent an ETF is above/below the 10-month SMA. This could also potentially impact whether an ETF is above or below its 10-month SMA. Regardless of whether you prefer the adjusted or unadjusted data, it is important to remain consistent in your approach. My preference is to use adjusted data when evaluating signals. The current signals based on April 29th’s adjusted closing prices are below. This month ( GSG ) is below its moving average and the balance of the ETFs are above their 10-month moving average. The spreadsheet also provides quarterly, half year and yearly return data courtesy of Finviz . The return data is useful for those interested in overlaying a momentum strategy with the 10-month SMA strategy: Click to enlarge I also provide a “Commission-Free” Ivy Portfolio spreadsheet as an added bonus. This document tracks the 10-month moving averages for four different portfolios designed for TD Ameritrade, Fidelity, Charles Schwab and Vanguard commission-free ETF offers. Not all ETFs in each portfolio are commission free, as each broker limits the selection of commission-free ETFs and viable ETFs may not exist in each asset class. Other restrictions and limitations may apply depending on each broker. Below are the 10-month moving average signals (using adjusted price data) for the commission-free portfolios: Click to enlarge Click to enlarge Disclosure: None