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Taking Profits On Our SPY Call Spread

You have just made a respectable 10.40% profit in only two trading days. What’s more, you have captured 90.32% of the maximum potential profit in this position. So it’s time to take a welcome profit. The risk/reward of running this position into the May 20 expiration is no longer favorable. As I argued vociferously at the February 11 bottom, yield support is underpinning stocks in a huge way, frustrating the hell out of short sellers, market timers, and hedge funds everywhere. With the volatility Index (VIX) plunging to the $13 handle today we have a nice opportunity to sell the S&P 500 SPDR’s (NYSEARCA: SPY ) May , 2016 $195-$198 in-the-money vertical bull call spread for a few extra pennies than we could yesterday. This all lends further credibility to my “Dreaded Flat Line of Death Scenario” whereby markets move sideways in a narrow range and nobody makes any money, except us. To see how to enter this trade in your online platform, please look at the order ticket below, which I pulled off of optionshouse . The best execution can be had by placing your bid for the entire spread in the middle market and waiting for the market to come to you. The difference between the bid and the offer on these deep in-the-money spread trades can be enormous. Don’t execute the legs individually or you will end up losing much of your profit. Spread pricing can be very volatile on expiration months farther out. Here are the specific trades you need to execute this position: Sell 37 May, 2016 $195 calls at………….….……$12.40 Buy to cover short 37 May, 2016 $198 calls at…..$9.43 Net Cost:…………………………………………………..$2.97 Profit: $2.97 – $2.69 = $0.28 (37 X 100 X $0.28) = $1,036 or 10.40% profit in 2 trading days. Is That a Profit I See? Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.

What Is In Store For Buyback ETFs Ahead?

Stocks with an increased buyback are usually investors’ favorites. With a low interest environment commanding most developed economies including the U.S., buybacks should surge and the related ETFs should beat out the broader market benchmark. But this did not happen in reality. In the last one year (as of May 3, 2016), buyback ETFs underperformed the S&P 500-based ETF SPY . During this frame, SPY lost 0.08% while buyback-oriented ETFs lost in the range of 6% to 7%. Let’s find out why. Buybacks lower the outstanding share count and thus increase earnings per share. Having said this, if companies are buying back their own shares at steep prices and accessing the debt market to finance that buyback, the move is less likely to be helpful, as indicted by Market Watch . After all, S&P 500 (ex-financials) companies’ cash position remained decent, but probably not great. Cash and short-term investments balance of those companies was $1.44 trillion at the end of Q4 (ended in January 2016), down 0.5% year over year. On a quarter-over-quarter basis, the figure was flat, as per FactSet. Of the nine sectors, seven recorded a year-over-year decline in their cash balances (Utilities sector was flat year over year). Moreover, the market was guilty of overvaluation concerns, forcing companies to repurchase their shares at higher prices than what they are actually worth. Probably this is why a waning momentum was seen in the buyback activity. Dollar-value share repurchases were $568.9 billion on a trailing 12-month basis (TTM), representing a 0.5% decline year over year and flat with Q3 (August-October), as per FactSet. In Q4 (November-January), dollar-value share repurchases were $136.6 billion, up 5.2% year over year but down 13.5% from Q3. The splurge on buyback has been the main driver of the market rally lately. If this activity cools down ahead, the broader market will likely feel the pain. Moreover, the Fed entered the policy tightening era in December 2015. Though the central bank is presently staying dovish on global growth issues, sooner or later the market will see further hikes in rates. And then, financing buybacks through debt would not be an easy task. So, investors should now be cautious while playing buyback ETFs. There are a couple of ETFs that focus on this niche strategy. PowerShares Buyback Achievers Portfolio (NYSEARCA: PKW ) is the most popular fund in the space, managing an asset base of $1.64 billion and trading in good volumes of 210,000 shares a day. PKW tracks the NASDAQ US BuyBack Achievers Index, which comprises companies that have repurchased 5% or more of their common stock in the trailing 12 months. The fund holds a basket of 232 stocks and charges 64 basis points as fees (see Total Market (U.S.) ETFs here ). Another buyback ETF SPDR S&P 500 Buyback ETF (NYSEARCA: SPYB ) tracks the performance of the top 102 stocks with the highest buyback ratio in the S&P 500 over the last 12 months. The fund charges 35 bps in fees. The fund has about $9.4 million in assets. In Conclusion Having said this, we would like to note that both the ETFs outperformed SPY in the last three months (as of May 3, 2016). So, it can be said that the languishing trend has recovered to some extent. Also, both SPYB and PKW have a decent relative strength index, below 50. This indicates these funds are yet to reach the overbought levels. The products can thus be played for a few more days, though with a strong stomach for risks. Original Post

Superforecasting For Active Investors

By Sammy Suzuki In a fiercely competitive world, active managers are constantly looking for ways to advance their performance edge. One good place to focus on is how to become better forecasters. If just looking at averages, the active management industry has a spotty record. But some active investors manage to beat the market consistently, suggesting that they possess some degree of skill. If you can identify them or become one of them, the payoff is large. The question is, what separates skilled investors from unskilled ones? Many people will answer that question by pointing to credentials or other markers: the manager seems especially smart, acts more authoritatively than others, shows more conviction or appears on TV more frequently. The problem is that none of these factors is necessarily correlated with increased predictive capabilities. In fact, some of them have a mildly negative relationship to it. In a world engulfed in random noise, performance itself is a fairly unreliable measure of skill in the short run. So what, then, are the traits common to the most skillful investors? A Teachable Moment We have some thoughts on the matter, largely drawn from the insightful research conducted by Philip Tetlock, professor at the Wharton School of the University of Pennsylvania and co-author of Superforecasting: The Art and Science of Prediction. The book is based on the findings from the Good Judgment Project, a multiyear study in which Tetlock and his colleagues asked thousands of crowdsourced participants to predict the likelihood of a slew of future political and economic events. As the book’s title suggests, “superforecasters” do, in fact, walk among us. Despite their lack of professional expertise, a small group of participants in the study significantly out-predicted both their fellow volunteers and teams of top professional researchers. And, over time, their advantage not only persisted, but grew. Most important, Tetlock found that good analytical judgment relies on a set of discrete approaches that can be taught and learned. With that in mind, we offer a framework for investors looking to improve. It’s About HOW You Think How forecasters think matters more than what they think, according to Tetlock’s research. In fact, how a person approaches a research question is the single biggest element distinguishing a great forecaster from a mediocre one. Predictive research is about focusing on the information that is most likely to raise the odds of being right: if you know x, your odds improve by y%. Superforecasters think in terms of probabilities; break complex questions down into smaller, more tractable components; separate the known from the unknowns and search for comparables to guide their view. Professional investors and research analysts gather reams of data to build their forecasting models, a lot of which has little proven predictive value. Our research shows, for example, that there is little correlation between a country’s GDP growth and how well its stock market performs. Good investment forecasting is akin to meditating in the middle of Times Square. It requires learning how to isolate the few relevant “signals” from a cacophony of irrelevant market “noise.” That’s not something most of us are taught how to do in our formal education. In areas such as math, science or engineering, the relationship between general laws and what you observe is much tighter. Stay Actively Open Minded In reality, the range of possible outcomes of any event is wider than most people can imagine. Outcomes usually look obvious after the fact, but they frequently surprise when they happen. Tetlock’s work suggests that a forecaster who considers many different theories and perspectives tends to be more accurate than a forecaster who subscribes to one grand idea or agenda. Being open minded also means accepting the (very real) possibility of overconfidence. Superforecasters also have a healthy appetite for information, a willingness to revisit and update their predictions as new evidence warrants and the ability to synthesize material from sources with very different outlooks on the world. Maintain Humility It takes a certain kind of person to have both the humility to accept that they may be overconfident in their assumptions and predictive powers and the conviction necessary to manage an investment portfolio. It also takes a certain type of person to learn from their mistakes without over-learning. The best forecasters were less interested in whether they were right or wrong than in why they were right or wrong. Using Tetlock’s words, superforecasters also tend to be in perpetual beta mode. Like software developers working on an untested app, these people rigorously analyze their past performances to figure out how to avoid repeating mistakes or over-interpreting successes. In the age of information overload, the active investor’s edge increasingly lies in knowing what information matters and how to process that information. If you can identify skill – whether you are looking to hire a portfolio manager or you are a portfolio manager aspiring to improve – we believe that this superforecasting framework can give you a better shot at beating the market. The views expressed herein do not constitute research, investment advice or trade recommendations and do not necessarily represent the views of all AB portfolio-management teams. Sammy Suzuki, CFA – Portfolio Manager—Strategic Core Equities