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There Is No Margin Of Safety

Summary Value investing’s “margin of safety” is illusory: “50 cent dollars” can turn into “50 cent quarters”, or worse. You can use value investing in security selection, but to protect against stock-specific risk, you need to diversify or hedge. An advantage of hedging is that it let’s you concentrate your assets in a handful of stocks you think will do best, while limiting your downside risk. An additional advantage of hedging is that it protects against market risk, which diversification alone does not. We outline a method for creating a hedged portfolio of value stocks, and provide an example. The Margin of Safety in Value Investing One of key terms used in value investing is ” margin of safety “, which refers to difference between a company’s market price and its ” intrinsic value “, as illustrated by the image below (take from the website of Pratt Capital, LLC) Margin of safety was coined by the putative father of value investing, Benjamin Graham, and perhaps the best way to help explain it is quote one of his famous sayings, “In the short run, the market is a voting machine, but in the long run, it’s a weighing machine”. “Voting”, or investor sentiment, drives the market price in the short term, according to Graham, but “weighing”, or recognition of intrinsic value, drives the stock price in the long term. The idea is, essentially, to buy a stock when it’s trading for less than it’s really worth (its intrinsic value), and sell it at some future date when it’s trading at its intrinsic value or higher. The Margin of Safety in Reality Buying a stock for less than your estimation of its intrinsic value and selling it for more later – value investing, in a nutshell – makes perfect sense. What doesn’t make sense is calling that discount between the market price and your estimation of intrinsic value a “margin of safety”, because it isn’t one. Let’s take the simplest case, what Graham referred to as a ” net-net “, a stock trading for less than its net current assets minus its total liabilities. In Graham’s day, these were more common, but you can still find them occasionally today among very small stocks. A stock trading for 50 cents per share with $1 per share in net current assets minus total liabilities would be a classic “50 cent dollar”. A can’t lose proposition, right? Well, not quite. One problem with a so-called 50 cent dollar is that you really don’t know what the net current assets are now ; you only know what they were as of the date they were reported. What if next time the company reports they have only 50 cents in net current assets per share? All else equal (i.e., the same conditions causing it to sell at discount in the past still applying) the share price will tank. And all else may end up being worse. Diversification versus Margin of Safety Of course, Graham knew this, which is why he advocated buying a basket of net-nets, rather than just a few. The basket — i.e., diversification — was his real downside protection against the stock-specific risk of some of his 50 cent dollars turning out to be a 50 cent half dollars, or, worse, a 50 cent quarters. One could argue that value investors today using more subjective measures of intrinsic value based on estimates of future earnings should be even more concerned about downside protection, particularly after some prominent value investing debacles during the last financial crisis. The Limits of Diversification Although diversification protects against stock-specific risk, it doesn’t protect against market risk. When the market tanks, nearly all stocks tank too. We saw this in miniature last month, as we noted in an article published soon after (“Lessons from Monday’s Market Meltdown”), and of course we saw it in 2008 , when stocks were a sea of red across the globe. What offers protection against market risk is hedging. Hedging Against one Kind of Risk or Both You can use a diversified portfolio to limit your stock-specific risk, and hedge against market risk by buying optimal puts on relevant index ETFs. We offered a step-by-step example of that in a previous post (“Protecting A Million Dollar Portfolio”). Alternatively, you can hedge each security you own; if you do that, you are hedging against both market risk and stock-specific risk, so you’ve obviated the need for broad diversification. That enables you to aim for maximizing your potential return with a concentrated, hedged portfolio. You can still use value investing principles to construct that portfolio, but you won’t be relying on an illusory “margin of safety” to protect it. We demonstrate a way of doing that below. Risk Tolerance and Potential Return All else equal, with a hedged portfolio, the greater an investor’s risk tolerance — the greater the maximum drawdown he is willing to risk (his “threshold”, in our terminology) – the higher his potential return will be. So, we should expect that an investor who is willing to risk a 25% decline will have a chance at higher returns than one who is only willing to risk, say, a 15% drawdown. For the purposes of this example, we’ll split the difference and create a hedged portfolio designed for an investor with $250,000 who is willing to risk a drawdown of no more than 20%. Constructing A Hedged Portfolio We’ll summarize process the hedged portfolio process here, and then explain how you can implement it yourself. Finally, we’ll present an example of a hedged portfolio that was constructed this way with an automated tool. The process, in broad strokes, is this: Find securities with high potential returns (we define potential return as a high-end, bullish estimate of how the security will perform). Find securities that are relatively inexpensive to hedge. Buy a handful of securities that score well on the first two criteria; in other words, buy a handful of securities with high potential returns net of their hedging costs (or, ones with high net potential returns). Hedge them. The potential benefits of this approach are twofold: If you are successful at the first step (finding securities with high potential returns), and you hold a concentrated portfolio of them, your portfolios should generate decent returns over time. If you are hedged, and your return estimates are completely wrong, on occasion — or the market moves against you — your downside will be strictly limited. How to Implement This Approach Finding promising stocks In this case, we’re going to use a large cap value screen from Zack’s Investment Research, but you could also use value stock ideas from Seeking Alpha or Seeking Alpha Pro . To quantify potential returns for these stocks, you can, for example, use analysts’ price targets for them and then convert these to percentage returns from current prices. In general, though, you’ll need to use the same time frame for each of your potential return calculations to facilitate comparisons of potential returns, hedging costs, and net potential returns. Our method starts with calculations of six-month potential returns. Finding inexpensive ways to hedge these securities First, you’ll need to determine whether each of these top holdings are hedgeable. Then, whatever hedging method you use, for this example, you’d want to make sure that each security is hedged against a greater-than-20% decline over the time frame covered by your potential return calculations (our method attempts to find optimal static hedges using collars as well as protective puts going out approximately six months). And you’ll need to calculate your cost of hedging as a percentage of position value. Selecting the securities with highest net potential returns In order to determine which securities these are, out of the list above, you may need to first adjust your potential return calculations by the time frame of your hedges. For example, although our method initially calculates six-month potential returns and aims to find hedges with six months to expiration, in some cases the closest hedge expiration may be five months out. In those cases, we will adjust our potential return calculation down accordingly, because we expect an investor will exit the position shortly before the hedge expires (in general, our method and calculations are based on the assumption that an investor will hold his shares for six months, until shortly before their hedges expire or until they are called away, whichever comes first). Next, you’ll need to subtract the hedging costs you calculated in the previous step from the potential returns you calculated for each position, and exclude any security that has a negative potential return net of hedging costs. Fine-tuning portfolio construction You’ll want to stick with round lots (numbers of shares divisible by 100) to minimize hedging costs, so if you’re going to include a handful of securities from the sort in the previous step and you have a relatively small portfolio, you’ll need to take into account the share prices of the securities. Another fine-tuning step is to minimize cash that’s leftover after you make your initial allocation to round lots of securities and their respective hedges. Because each security is hedged, you won’t need a large cash position to reduce risk. And since returns on cash are so low now, by minimizing cash you can potentially boost returns. In this step, our method searches for what we call a “cash substitute”: that’s a security collared with a tight cap (1% or the current yield on a leading money market fund, whichever is higher) in an attempt to capture a better-than-cash return while keeping the investor’s downside limited according to his specifications. You could use a similar approach, or you could simply allocate leftover cash to one of the securities you selected in the previous step. Calculating Expected Returns While net potential returns are bullish estimates of how well securities will perform, net of their hedging costs, expected returns, in our terminology, are the more likely returns net of hedging costs. In a series of 25,412 backtests over an 11-year time period, we determined two things about our method of calculating potential returns: it generates alpha, and it overstates actual returns. The average actual return over the next six months in those 25,412 tests was 0.3x the average potential return calculated ahead of time. So, we use that empirically derived relationship to calculate our expected returns. An Automated Approach Here we’ll show an example of creating a hedged portfolio starting with value stocks using the general process described above, facilitated by the automated hedged portfolio construction tool at Portfolio Armor . Narrowing Down Our List of Stocks To get a starting list of value stocks, we used the Large Cap Value screen created by Zack’s Investment Research in Fidelity ‘s stock screener. That screen uses these criteria: Market capitalization of $5 billion and above Projected EPS growth (quarter over quarter) of 17% or more Projected EPS growth (year over year) of 17% or more P/E below 12 PEG below 1 Security price above $5 Average volume over 50,000 shares traded daily On Thursday, that screen generated these 11 stocks: American Airlines Group (NASDAQ: AAL ) Citigroup (NYSE: C ) Delta Air Lines (NYSE: DAL ) Ford Motor Co. (NYSE: F ) Gilead Sciences (NASDAQ: GILD ) HollyFrontier Corp (NYSE: HFC ) Lear Corp (NYSE: LEA ) Southwest Airlines (NYSE: LUV ) Tesoro Corp (NYSE: TSO ) United Continental Holdings (NYSE: UAL ) Valero Energy (NYSE: VLO ) Using the Automated Tool In the first step, we enter the eleven ticker symbols in the “Tickers” field, the dollar amount of our investor’s portfolio (250000) in the field below that, and in the third field, the maximum decline he’s willing to risk in percentage terms (20). In the second step, we are given the option of entering our own potential return estimates for each of these securities. Instead, in this case, we’ll let Portfolio Armor supply its own potential returns. Note that the site’s potential returns are calculated based on price history and option market sentiment, so they generally won’t be very high for value stocks. But, again, you can enter your own potential returns in this step if you want. A couple minutes after clicking the “Create” button, we were presented with the hedged portfolio below. The data here is as of Thursday’s close. Why These Particular Securities? The site included all of the entered securities for which it calculated a positive potential return, net of hedging costs. In this case, that turned out to be six of the eleven stocks we entered, DAL, GILD, HFC, LEA, TSO, and VLO. In its fine-tuning step, it added Under Armour (NYSE: UA ) as a cash substitute. Let’s turn our attention now to the portfolio level summary for a moment. Worst-Case Scenario The “Max Drawdown” column in the portfolio level summary shows the worst-case scenario for this hedged portfolio. If every underlying security in it went to zero before their hedges expired, the portfolio would decline 19.8%. Negative Hedging Cost Note that, in this case, the total hedging cost for the portfolio was negative, -2.56%, meaning the investor would receive more income in total from selling the call legs of the collars on his positions than he spent buying the puts. That also means that if the underlying securities returned 0% over the next 6 months, and the hedges expired worthless, the portfolio would return 2.56% (to be prudent, we suggest exiting positions just before their hedges expire instead). Best-Case Scenario At the portfolio level, the net potential return is 6.32% over the next six months. This represents the best-case scenario, if each underlying security in the portfolio meets or exceeds its potential return. A More Likely Scenario The portfolio level expected return of 2.22% represents a conservative estimate, based on the historical relationship between our calculated potential returns and backtested actual returns. By way of comparison, a hedged portfolio created recently using the same decline threshold (20%), but without entering any ticker symbols (i.e., letting Portfolio Armor pick all the securities), had an expected return of 6.1%. You can see that hedged portfolio in a recent article (“Investing While Guarding Against Extensive Vertical Losses”). Each Security Is Hedged Note that each of the above securities is hedged. Under Armour, the cash substitute, is hedged with an optimal collar with its cap set at 1%, and the remaining securities are hedged with optimal collars with their caps set at each underlying security’s potential return, as calculated by the site. Here is a closer look at the hedge for Gilead Sciences: Gilead Sciences is capped here at 10.62%, because that’s the potential return Portfolio Armor calculated for it over the next several months. As you can see at the bottom of the image above, the cost of the put protection in this collar is $464, or 2.08% of position value. But if you look at the image below, you’ll see the income generated from selling the calls is $640, or 2.87% of position value. So, the net cost of this optimal collar is -$176, or -0.79% of position value, meaning the investor would collect more income from selling the calls than he paid to buy the puts.[i] Possibly More Protection Than Promised In some cases, hedges such as the ones in the portfolio above can provide more protection than promised. For an example of that, see this instablog post on hedging the iPath S&P 500 VIX ST Futures ETN (NYSEARCA: VXX ). [i]To be conservative, this optimal collar shows the puts being purchased at their ask price, and the calls being sold at their bid price. In practice, an investor can often buy the puts for less (i.e., at some point between the bid and ask prices) and sell the calls for more (again, at some point between the bid and ask). So the actual cost of opening this collar would have likely been less. That’s true of the other hedges in this portfolio as well. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

The Future Of Seeking Alpha, From One Contributor’s Perspective (Part II)

Summary SA has new leadership and a bright future. Here is what that future may hold for you. Many questions have been answered since Part I. Much has changed at Seeking Alpha since Part I . Here is an update from Seeking Alpha’s opinion leaders on big changes that impact you. New Leadership As announced by Seeking Alpha’s founder, the company is newly led by my friend Eli Hoffmann . Eli is the perfect person to lead Seeking Alpha. In April, he announced the launch of the SA contributor marketplace. While Eli was always the best successor to founder David Jackson , his success at leading the launch of this new business really catapulted him to the top. We have stayed in close touch during the launch including discussions of its progress here and here . New Marketplace The contributor marketplace is comprised of value-added investment services from top SA contributors, according to Seeking Alpha. Under Eli’s leadership, the contributor marketplace exploded to over fifty writers on over twenty five specialized topics. New Ideas from Seeking Alpha Opinion Leaders I reached out to each of the top ranked opinion leaders from every category for their thoughts on Seeking Alpha’s future and their role in it. What is the future of SA? My hope is that the future of SA is to provide both professional and retail investors with a forum to provide interactive discussion over the analysis of a large number of securities, as well as the general macroeconomic picture. Seeking Alpha has already established a large moat as the leader in ‘crowd-sourced’ investing information, and I also hope that they can grow the entire market for crowd-sourced financial information. – Michael Munro , SA’s real estate opinion leader What is your edgiest prospective idea from today’s market prices? I like the Chinese solar companies such as JinkoSolar (NYSE: JKS ), Trina Solar (NYSE: TSL ), and JA Solar (NASDAQ: JASO ) because of their valuation, the prospects for solar power as it becomes more competitive in electricity generation, the near-term sold out capacity for solar, the companies’ technological/cost competitiveness, the trend towards higher earnings estimates in spite of their very low valuation and the existence of further catalysts for further increases in earnings estimates. – Paulo Santos , SA’s opinion leader in short ideas What is the single most unappreciated article on the site by someone other than you? That’s a pretty good question, I’d say Spear Point Calls for CEO of TheStreet to Resign Requests Board Seats to be the most underappreciated article on Seeking Alpha. In the comment section, there were only two comments, and the content inside of the article was simply phenomenal. I wrote an extensive article on TheStreet in the beginning of 2015 highlighting why it was such a poorly run business. Soon enough, the biggest shareholders, i.e. Spear Point wrote a public letter on Seeking Alpha to TST’s management team stating that the CEO is both incompetent and that the board should be more fairly represented by the shareholders. This is a classic example of how Seeking Alpha’s platform could transition to become more accommodative towards activist funds, while also exemplifying the strengths of the buy-side community as a whole. People mistake Seeking Alpha for a group of wannabe analysts, or amateurs. But it’s simply not the case. Some of the most brilliant people in the world share their ideas here, and as such, I think this specific article is not only one of the most underappreciated article on this website, it also speaks to the direction in which Seeking Alpha could go. – Alex Cho , SA’s opinion leader in long ideas What article have you written on SA that best exemplifies the depth of your research and your ability to uncover information that is not already in the press/in the price? I’m not sure how “deep” my research was, but I thought this idea was unique compared to most things I had read about how DGIs weight their portfolios. The vast majority seems to weight them equally or close to it and that simply didn’t make sense to me. Why would I want to rely upon some speculative 10%-yielder for more income than a proven blue-chipper? That’s exactly what happens for somebody who invests equal amounts of money in both equities. So I went to the numbers and “proved” myself correct – at least in my own mind. And this thesis of mine did go on to form the basis on how I invest today. I weight my positions not only based upon my conviction towards each company. And I do the weighting by annual dividends more than dollar value. – Mike Nadel , SA’s dividend investing strategy leader How does your view of a given securities’ value tend to differ from the market’s view? My view on value is evidence-based and totally dispassionate. A surprising number of investors seem to lose their analytical focus if they are long a stock of a company whose products they love (say, Apple (NASDAQ: AAPL )) – no matter how expensive the stock gets, they reject any information source that presents evidence of over valuation. – Donald van Deventer , opinion leader on bonds To quote Peter Thiel’s favorite question, could you please tell me something that’s true that nobody agrees with? In an investing environment where there are unlimited numbers of brilliant mathematicians, statisticians and physicists all seeking to dissect the tiniest component of what creates opportunity and coming up with diametrically opposing answers, it is not possible to have any degree of confidence in any investing decision without information that is otherwise unavailable to others. – George Acs , income investing strategy leader Sifting the World In March, I wrote that, I am 100% committed to this new endeavor even if it results in only one reader (me) and writer (me). Since then, hundreds of members joined Sifting the World . Many have discussed their experience in their own words . It is both a collegial environment and a forum for vigorous debate. My ideas are supplemented by investment ideas presented by fellow hedge fund managers and by fellow StW members. Online discussion is supplemented by in person meet ups in New York City and Connecticut. You can join us, too, or shoot me any questions that you might have about becoming a member. What do you think? Please use the comment section below or the Seeking Alpha Readers Forum to weigh in. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Additional disclosure: Chris DeMuth Jr is a portfolio manager at Rangeley Capital. Rangeley invests with a margin of safety by buying securities at deep discounts to their intrinsic value and unlocking that value through corporate events. In order to maximize total returns for our investors, we reserve the right to make investment decisions regarding any security without further notification except where such notification is required by law.

Can Google’s Search Volume Predict The Market?

The stock market is ultimately a mirror of investor sentiment. Another barometer of investor sentiment could be the number of times the ticker symbol for a company is used as a search term. Google Trends provides a tool that helps track search term volume and it appears to be a forward indicator. Much of human behavior is based on conditioning. Our years, months, weeks and days are clearly mapped out. Within that, our hours, minutes and seconds are all accounted for. You wake up, take a shower, make yourself look presentable, have a cup of coffee out of your favorite mug and you’re off to work. You arrive at work and don’t even remember how you got there. Then you can’t wait to get home where you can eat, relax, look at emails and prepare yourself to do it again the next day. I’ve heard it said that by the age of 35 most of us are on auto-pilot for 80% of our lives. Certainly, if there are patterns in human behavior, there might be some portion of this pattern that provides clues about the direction of the market. Now, I’m no advocate of technical analysis for stock selection, but it can tell you when to buy something you’ve already decided to purchase. In other words, it can help with timing. Measures of volume can give you an idea for the level of interest in the market. Volume, is in a sense, a measure of the market’s current emotion. When that volume lingers, it turns into a “mood”, often trending sideways, up or down over a period of time. Some stocks trend up or down in such predictable ways (within a range) over a long period of time that they can now be said to have a “temperament”. Ultimately, the market is also on auto-pilot. One great thing about being human is this gift of metacognition — the ability to think about the very thing you are thinking about. So let’s ask the question, is there a better way to think about the emotion, mood and temperament of the market? If there is, I’m sure Google has the answer. No, really. They do. Google provides a tool called Google Trends. It shows information on the number of searches for a given “search”. What exactly is a “search”? It’s when someone puts in a word or phrase and then clicks “search”. Easy enough, right? The goal of the “searcher” is to find information about the stock price. So these are presumably investors looking to find more information about a stock. This is a measure of investor interest — good or bad. And, it’s a better measure than volume and momentum, because “searches” are not commitments. This is where people go prior to making a commitment; they do research prior to the investment decision. When the number of searches is abnormally high it could be a sign of eminent change. So, in some ways it is a barometer for potential future action, like a voting poll. I cover banks so let’s look at the top 3 banks in size to see if a compelling trend emerges that can help predict entry/exit points. JP Morgan Chase (NYSE: JPM ), Bank of America (NYSE: BAC ) and Wells Fargo (NYSE: WFC ) are all compelling investments. Though my favorite is Wells Fargo, I also like JPM and BAC. Though WFC edged out JPM in net income again in Q2, JPM is still the largest US bank by assets. Here’s a price/net income chart. JPM data by YCharts And, here’s a chart of searches for the term “JPM” over roughly the same time period: (click to enlarge) Source: Google Trends I drew in the red line. The letters mark news events. You will notice that high search volume is negatively correlated with stock price, which suggests investors search for stock more when the price is going down, but can this be used as a forward indicator; does it have any predictive value? The end of month reading on January 2008 shot up above the red line — this was a change of investor emotion, a change in routine — auto-pilot has been turned off. If you looked at this Google Trends chart on February 1, 2008, you would have seen a spike above the red line. If you sold JPM on February 1, you would have also been one of the smartest people in the world. On August 2009, search volume dropped below the red line which was the start of an increase in price, a new trend. You will notice a spike at (“H”) around the middle of 2013. This is when a news story was put out about JP Morgan Chase in Barron’s. The story created a lot of interest in the stock, but did not result in a sell-off. Indeed, the stock has been fairly steady since August 2009. The dashed line at the end of the chart represents a forecast of future search volume for the term JPM. Based on the search volume forecast, JPM will be going up over the next 3 months, though I don’t know how reliable the forecast can be. The next highest bank in terms of assets is Bank of America . Unlike JPM, BAC’s price has not followed net income which explains the low earnings multiple. Here’s a price chart: BAC data by YCharts And here’s a chart of the search term “BAC” over the same time period. (click to enlarge) This is a little trickier because prior to November 2007, there were no searches for BAC. Suddenly, there’s interest. We go from 0 to 100 (literally) from December 2007 to April 2009. Had you sold BAC on January 1, 2008 (search volume passes above the red line) and purchased again on May 1, 2009 (search volume passes above the upper limit), you could have saved yourself an 80% drop in price. Then from May 2009 to May 2011, searches fell again. Only to have a sharp spike July 2011. Had you sold on August 1, 2011 you could have avoided a 50% sell-off. Here’s a chart of Wells Fargo’s price over the past 10 years. WFC data by YCharts And here’s a chart of the search term WFC on Google: (click to enlarge) January 2008 (just after the “N” mark) was a breakout month for WFC in search volume — this is when folks turned off the auto-pilot and the stock became increasingly volatile. If you sold WFC on February 1, 2008 you would have seemed a genius. The chart also provides a buy signal (folks went back to auto-pilot) when it crossed above the upper red line in February 2009 you would have purchased the stock between $8 and $13. A more prudent investor may want to wait until all “search volatility” has dissipated. Sometime around the beginning of 2011 the market returned to its pre-2008 search volume. At the time the price was around $30. Today’s it’s at $52. Incidentally, the dotted line at the end there looks to be telling us that WFC is trending flat, but again I don’t have much faith in the forecast. A few comments: I’ve noticed that the effectiveness of this tool is only as good at the search term. For instance, Citigroup’s (NYSE: C ) ticker is “C”. It would take some time to clean out the noise. Even a search for “C price” or “C quote” yielded mixed results. There appear to be no correlations between Google Trends and short interest. You might think that as searches go up, short interest would follow, but this is not the case. A big news story, press release (earnings report) will provide a false signal, but you can eliminate this with a quick search. If there are no big news stories, press releases, etc, and search volume is going up, it may be time to sell. While you can ask the chart to show news activity, it does not always pick up company press releases. For example, if we look at the WFC search volume chart (see below) for the past 90 days, we see a spike at July 14, which was an earnings announcement. However, the second spike was the sell off on Aug. 24. The next day WFC hit a price bottom. WFC’s price began trending down on August 19, but the search volume for the ticker symbol did not pass the red line until Aug. 23 (Sunday). So, to put some context on this, on Aug. 22, a Saturday, people woke up and instead of going on auto-pilot they checked on WFC’s price. And, on Monday morning, well, we all know what happened on Monday morning. Now we appear to be back on autopilot, but I’m monitoring closely. (click to enlarge) Google Trends provides data on a daily basis. The presentation here is a snapshot, but if you go to the actual website you will see more granular data. I have an email in to Google to see if I can get a raw data file to run correlations, but that may never happen. I will keep you posted. Each stock has its own temperament. This is not a one “rule” fits all. Finally, to all the critics, this is only research in progress. I am by no means calling this a definitive study, but it’s showing some promising signs. AIAB Subscribers : If you have a bank you would like me to research please send a direct message. I’ve also provided Google Trends charts for the top five non-banks for comparison. Disclosure: I am/we are long WFC, BAC, JPM. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.