Tag Archives: seeking

Greenblatt On Value Investing

Earlier this year Wharton released a video where Howard Marks interviewed Joel Greenblatt . It was a short interview packed with wisdom from the two value investors. Greenblatt first came across value investing after reading Ben Graham, which offered him a new perspective on investing. He defines value investing perfectly: Figure out what something is worth, pay a lot less, leaving a large margin of safety. He repeated this definition several times during the interview. Most people never get past the first part, but he offers two guarantees to those that do the work. “If they do good valuation work, the market will agree with them. I just don’t tell them when.” “In 90% of the cases for an individual stock, two or three years is enough for the market to recognize the value they see if they’ve done good work.” So good work and the conviction to wait a few years is required. This is why most people fail before they get started. Bad behavior creeps in. They expect too much, too soon, and quit before they get rewarded. The hardest part about investing is waiting. Indeed, Greenblatt’s students regularly tell him – but it was easier to make money when you started then it is today. He has two responses to this. The first is for special situations (Greenblatt literally wrote the book on special situations, titled You Can Be A Stock Market Genius – the worst title ever according to the author). These special situations are built for the small investor because most situations are too small to move the needle for large investors. People who get very good at analyzing businesses with special situations make a lot of money. Because of that, they get too big to play in that obscure area of the market, making room for new investors. His second response is toward technology and why value investing still works in an “efficient market”: Let’s go look at the most followed market in the world. That would be the United States. And let’s go look at the most followed stocks in the most followed market. That would be the S&P 500 stocks to a large extent…Take a look at the S&P 500. From 1996 to 2000, it doubled. From 2000 to 2002, it halved. From 2002 to 2007, it doubled. From 2007 to 2009, it halved. From 2009 till today, it’s basically tripled. That’s my way of saying people are still crazy. And that’s really an unfair thing to say because the S&P 500 is an average of 500 stocks. There’s huge dispersion going on within that average between stocks that are in favor, that people love emotionally, and stocks that people hate. So it’s really much worse than what I just described. There’s a huge dichotomy between things people like, people don’t, things that are out of favor…All this noise is going on within that average. That average is smoothing things . The S&P 500 offers a nice measure of “the market”. But we can’t forget it’s only a small subset of the total market, and mostly representative of large cap stocks. Being too reliant on the bigger picture, means you overlook everything not included in the index and miss what’s really going on in the market. Investing seems as though it’s harder today than the past, but investing was never easy. Investors’ behavior is the same as it ever was. If anything, technology has only made it easier to add a new layer of complexity to strategies and it definitely compounds the short-term mindset driving the market. If anything, that combination should make it easier for the most disciplined investors. Marks added this gem at the end to put it all into perspective: If you want to be exceptional as an investor you have to dare to be great…But to be great, you have to be different because if you think the same as everybody else you’ll take the same actions. If you take the same actions, you’ll have the same performance. You certainly can’t be exceptional if you follow the common course. So to be exceptional, you have to be different. You also have to dare to be wrong.

Q3 ETF Asset Flow Roundup

The third-quarter of 2015 was teeming with economic shockers that bulldozed risky investments worldwide but showered gains on some safe bids. While a hard landing fear in China was the actual culprit, a long-standing guesswork on the Fed’s liftoff timeline was a partner in crime. Yet, we admit that nothing could stand against the China issues that include sudden currency devaluation, multi-year low manufacturing data and a massive crash in the Chinese market. The resultant shockwaves, swooning commodities and the return of deflationary fears in the Euro zone also set the dark stage for the third quarter’s investing activity. The combined impact of these events led the SPDR S&P 500 Trust ETF (NYSEARCA: SPY ) , to lose about 7.7%, the PowerShares QQQ Trust ETF (NASDAQ: QQQ ) to shed 5.7% and the SPDR Dow Jones Industrial Average ETF (NYSEARCA: DIA ) to retreat about 8.4% in Q3. The iShares MSCI ACWI (All Country World Index) Index ETF (NASDAQ: ACWI ) was off about 9.8% in the quarter. Overall, the global market was quite disastrous for investors as most key indices endured the worst quarter in four years. In such a scenario, investors might thus want to check out the top and worst grossing ETFs of Q3 to see which products cashed in on the market crash and which lost out. Winners of Q3 The SPDR S&P 500 Trust ETF Though volatility rocked the show in the third quarter as China-led global growth fears and its ripples in the other emerging and developed economies muddled the market momentum, steady U.S. growth impressed investors. Also, the Fed’s reiteration of near zero interest rates at the end of the quarter resulted in strong inflows into the U.S. equity funds. The ultra-popular SPY led the way last month, gathering over $8.4 billion in capital. Not only SPY, another popular S&P 500 ETFs namely Vanguard S&P 500 ETF (NYSEARCA: VOO ) accumulated $4.45 billion in assets. U.S. Treasury Bonds – iShares 1-3 Year Treasury Bond ETF (NYSEARCA: SHY ) With the Fed still hesitating to hike the benchmark interest rates even almost after a decade, bond investing prevailed in Q3. Though September was a chancy month for the lift-off, a global market rout in August, a choppy global market and a still-low inflation level in the U.S. held the Fed back from catapulting a lift-off. This gave a big-time boost to the short-term U.S. Treasury bond ETFs. As a result, SHY garnered about $4.05 billion in assets in Q3. The SPDR Barclays 1-3 Month T-Bill ETF (NYSEARCA: BIL ) also piled up $1.66 billion in assets and made it to the top-10 asset scorers’ list (read: Guide to Interest Rate Hikes and ETFs: 4 Ways to Play ). Since the global macroeconomic environment was tumultuous in Q3, investors sought refuse in safe haven bids like intermediate-to-long term treasury ETFs. These offer investors safety along with a decent level of current income. Thanks to this sentiment, the iShares 7-10 Year Treasury Bond ETF (NYSEARCA: IEF ) and the iShares 20+ Year Treasury Bond ETF (NYSEARCA: TLT ) attracted about $2.40 billion and $1.65 billion of AUM during the quarter (read: ETF Winners & Losers Post Dovish Fed Meet ). Hedged Global – Deutsche X-trackers MSCI EAFE Hedged Equity ETF (NYSEARCA: DBEF ) The global economy may be lagging, but investors’ penchant for currency-hedged global equity ETF investing is not. The policy divergence stemmed from the looming Fed tightening and the easy money policies in most developed economies made hedged international investments a compelling opportunity for U.S. investors and led them to pour about $2.38 billion in assets in DBEF. Several other Europe-based ETFs including the iShares MSCI EMU ETF (NYSEARCA: EZU ) and the Vanguard FTSE Europe ETF (NYSEARCA: VGK ) hauled in respectively $1.7 billion and $1.6 billion assets in Q3. Top Losers Emerging Market – Vanguard FTSE Emerging Markets ETF (NYSEARCA: VWO ) Emerging markets were hard hit in Q3 thanks to the double whammy of China-induced worries and the Fed rate hike tensions. This clearly explains why two top-notch emerging market ETFs namely VWO and the iShares MSCI Emerging Markets ETF (NYSEARCA: EEM ) saw assets bleeding in the quarter. The funds, VWO and EEM saw outflows of about $3.44 billion and $2.79 billion respectively in the quarter. Un-hedged Global – iShares MSCI EAFE ETF (NYSEARCA: EFA ) Since sooner or later the Fed is due for a policy tightening, investors started to dump non currency-hedged international ETFs like EFA. The fund shed about $1.13 billion in assets in the quarter. Gold – SPDR Gold Trust ETF (NYSEARCA: GLD ) Gold has slipped to multi-year lows on a stronger dollar, a still-muted inflationary backdrop worldwide and the slowdown in China, which is one of the largest consumers of gold. Though the recent global market rout offered gold the much-needed respite for a brief session on the metal’s safe haven appeal, the underlying fundamentals are weak. So, investors abandoned this product in Q3, resulting in about $922 million in net outflows. Link to the original post on Zacks.com

Buy The Fourth Quarter Of The Third Year Of The Presidential Cycle

The best time to buy the Presidential Election Cycle is from September of the second year to April of the third year. Nevertheless, the fourth quarter of the third year is strong, particularly after a weak third quarter. In the past, it was better to buy near the end of October than at the end of September. How does the fourth quarter do in the third year of the Presidential election cycle? ‘Everyone knows’ that the third year of the Presidential cycle is incredibly reliable, and has returns that far exceed the other three years. Even Grantham has touted it, which I thought must be tongue-in-cheek, because he is a macro-guy. So I decided to go back and check, and found his letter written at the end of the third quarter in 2014 for GMO. It turns out he was quite serious. Regular readers know the score: +2.5% a month for the seven months from October 1 to April 30, in year three on average since 1932 (a total of +17%). This is now the 21st cycle. The odds of drawing 20 random 7-month returns this strong are just over 1 in 200 according to our 10 million trials. But 17 of the actual 20 historical experiences were up, and the worst of the 3 downs was only -6.4%, so the odds of this consistency plus the high return would be much smaller. The remaining 5 months of the Presidential year have a good but not remarkable record, over .75% per month, but the killer here is that the remaining 36 months since 1932 averaged a measly +0.2% a month!” Reference to the remaining 5 months means that Grantham views the third year of the Presidential cycle as running from September to September. More importantly, we have missed the key months from September 30 to April 30. From 2014 to 2015, that time span had the S&P 500 rising by 11.39%, which is not too shabby given what the market has done since. Yahoo Finance only had S&P 500 data as far back as 1950. So my analysis is for the 16 third years since then (see the table below). We have completed 17 years from his September to April time frame, however, and I calculated an average 19.72% return for those time periods, with a median return of 19.49%. There was only one decline of -.76% in 1978-79. But dividends have not been included. So every period actually had a positive total return. For the full calendar third year, the average return was 17.12%, with a median return of 18.08%. That’s very good also, but not as good, and that is a 12-month return versus Grantham’s 7-month return. For all years since 1950, the average calendar year gain was 9.18%. Therefore, the average gain in the other 3 years of the Presidential cycle works out to 5.69%. Out of the 16 third years, 15 were up, and one was unchanged (2011). With stocks down YTD, the odds would appear to be good that we will get a nice rally over the last three months. I say ‘appear to be good’, because statistically we can’t calculate the odds. This is a small sample. It is not a random sample. And there is no solid theory to support why the pattern of the recent past should hold in the future. Let’s see how the last three months of the third year have done since 1950. From 9/30 to the end of the year, the average gain in the S&P has been 3.04%, with a median return of 4.39%. The mean is lower because of the skew created by 1987. Third Year Pres. Cycle %ch. Oct. 31 to end of yr % ch. Sept. prev. yr to April 3rd yr % ch. Full 3rd year % ch. April to Sept. 3rd yr % ch. 9/30 to end of 3rd yr % ch. Sept. low to end 3rd yr % ch. Oct. low to end 3rd yr % ch. Sept. 30 to Oct. low % ch. Sept. low to Oct. low 1951 3.62 15.32 16.35 3.7 2.19 2.19 4.9 -2.58 -2.58 1955 7.42 17.49 26.40 15.04 4.14 6.74 11.47 -6.57 -4.25 1959 4.12 15.04 8.48 -1.23 5.29 8.61 6.95 -1.55 1.56 1963 1.36 24.04 18.89 2.72 4.63 4.63 4.38 .24 .24 1967 3.40 22.79 20.09 2.87 -.25 2.98 3.4 -3.53 -.41 1971 8.34 23.31 10.79 -5.4 3.81 4.58 8.85 -4.63 -3.92 1975 1.29 37.39 31.55 -3.93 7.54 9.86 8.75 -1.12 1.02 1979 5.91 -.76 12.2 7.43 -1.35 1.35 7.84 -8.53 -6.02 1983 .84 36.55 17.27 1.00 -.69 .43 .95 -1.63 -.52 1987 -1.87 24.66 2.03 11.61 -23.2 -20.4 9.89 -30.1 -27.6 1991 6.28 22.64 26.31 3.31 7.56 8.73 10.69 -2.83 -1.77 1995 5.92 11.24 34.11 13.54 5.39 8.28 6.65 -1.18 1.53 1999 7.8 31.28 19.53 -3.93 14.54 15.84 17.78 -2.75 -1.65 2003 5.83 12.47 26.38 8.62 11.64 11.64 9.20 2.23 2.23 2007 -5.23 10.97 3.53 2.99 -3.82 1.15 -2.15 -1.71 3.37 2011 0.34 19.49 -.003 -17.0 11.15 11.34 14.41 -2.5 -2.69 2015 11.39 -7.93 Mean 3.46 19.72 17.12 1.96 3.04 4.87 7.75 -4.32 -2.59 Med. 3.87 19.49 18.08 2.87 4.39 5.68 8.30 -2.67 -1.09 (The median date of the September low is the 21st. The median date for the October low is the 17th.) The average fourth quarter gain for all years since 1950 is 4.06% with a median of 4.92%. So the third year of the Presidential cycle has a lower average using both measures. The much lower mean is probably because of 1987, but clearly the fourth quarter of the third year is actually not as good as other years. There were 5 down quarters out of 16. They were 1967, 1979, 1983, 1987 and 2007. But all 5 years that declined from April to September 30 (1959, 1971, 1975, 1999, and 2011) had good gains in the fourth quarter . This augurs well for 2015, but 5 out of 5 does not mean we have to get 6 out of 6. The average gain for the two months following October 31 was 3.46% with a median of 3.87%. I don’t know what the comparable percentages are for all years. Two years had declines – 1987 and 2007. So the return is better for the last two months than the last three months. This should not be a surprise. I compared the October lows with the September lows, and found that on average (in the third year), the October low was 2.59% lower than the September low (see the table). October had a lower low in 10 out of 16 years. If you can identify the October low, then the average gain from there to the end of the year was 7.75% with a median of 8.30%. 2007 was the only down year with a loss of -2.15%. Locating the vicinity of the October low is not as stupid as it sounds. The median low date was October 17th. Unfortunately, the 1987 crash was on the 17th, 18th and 19th with the huge losses on the 19th (I remember it well. I was 100% invested and canoeing a river in Missouri.). Eight of the 16 lows were on the 19th or later. Three of the lows were on the second to last or last day. So if you buy at the close on the third to last day, you should be able to beat that average return dated from the end of October. The last two days in October are pretty good on average. I will buy stocks when Financial Select Sector SPDR ETF (NYSEARCA: XLF ) hits a twenty-day high (adjusted for dividend payments). The levels are posted in my Instablog. I actually buy small caps when XLF hits a twenty-day high. I compared the Russell 2000’s performance in the fourth quarter of the third year with the S&P 500 since 1987, and found that on average the S&P did slightly better. The R2000 is more volatile. In strong fourth quarters, it beat the S&P. In weak fourth quarters, it underperformed badly; e.g. 1987. I’m pretty optimistic about the last two months of the year. There is a strong possibility that October will be bad, because of all the negative macro- indicators. Risky high-yield investments like MLPs, mREITs, and junk bonds have been hammered. Sentiment is very negative as indicated by Investors Intelligence, Hulbert’s sentiment measures, Rydex, and Citigroup’s Euphoria/Panic model. I think sentiment follows the market. If October brings further drops in stock prices, then these measures will become even more negative, but that will set us up for a bigger bounce into the end of the year.