Economic commentaries, articles and news reflecting my personal views, present trends and trade opportunities. By F. F. F. Russo (PLEASE NO MISUNDERSTANDING: IT'S FREE).
MARKET FLASH:
sabato 7 ottobre 2017
Is Saudi Arabia's Grand Strategy Shifting?
A Rising (Central Bank) Tide Turns Everyone Into A Genius
Until the system implodes--you're a genius.
So you've ridden the markets higher--stocks, housing, commercial real estate, bat guano, quatloos, you name it--everything you touch turns to gold. What can we say, bucko, other than you're a genius!
It's a market truism that rising tides lift all boats. But that's not the really important effect; what really matters is rising tides turn everyone into a genius--at least in their own minds.
Those of us who have been seduced by the Sirens' songs of hubris know from bitter experience how easy it is to confuse a rising tide with speculative genius. When everything you touch keeps going higher, the only possible cause is.... your hot hand, of course!
Stocks--I'm a genius! Housing--I'm a genius! Commercial real estate--yes, well, I suppose the evidence is overwhelming--it does seem I'm a genius.
The only thing better than buy and hold is buy the dips and hold--and use margin or whatever leverage you have to buy more before the price goes even higher.
What can we say other than: this is the strategy of geniuses. The proof is in the charts:
The S&P 500: margin to the hilt and buy every dip: genius!
Housing in Sweden, Toronto, Brooklyn, West L.A., San Francisco, Seattle, Portland, Shanghai and every other blazing-hot market: borrow more from the shadow banking system, mortgage your house to the hilt, do whatever you have to do to get the down payment and buy another flat: pure genius!
The source of our collective genius isn't an act of Nature--it's that good old pump inflating every asset bubble on the planet, central banks creating credit-money out of thin air and buying assets hand over fist: stocks, ETFs, bonds, mortgages, and so on.
Central banks have collectively purchased $1 trillion in assets year to date.
The Federal Reserve and the other central banks are playing the role of financial gods, intervening in the interactions of mere mortals to create the illusion of stability.
To this end, the Fed has created trillions of dollars and used this money to prop up delusional asset values (high) and destabilizing interest rates (low).
If we look at a decentralized financial system as a self-organizing ecosystem, we find that the strength of the system lies in the adaptability of the myriad organisms in its many micro-climates. The key strength of a decentralized financial ecosystem, i.e. one not organized as a top-down command economy, is the "genetic diversity" of its many participants. There is not just one dominant species in the ecosystem, but many interdependent species.
In a financial ecosystem, there is not one lender and one class of borrowers, but a huge diversity of lenders, borrowers, creditors and savers, and a wealth of interacting, inter-dependent enterprises.
A centrally planned financial ecosystem is a doomed system. The Fed is the equivalent of an ignorant, hubris-infused agency that seeks to "restore" an ecosystem by flooding it with water and unleashing a single predatory species raised in an unnatural, contrived "factory."
The Fed is wiping out diversity and thus the adaptability of the enterprises that survive its crude flooding and replication of a single predatory species.
The Fed is creating a sickly, vulnerable mono-culture of an economy, one dominated by financial predators which are themselves lacking in genetic diversity.
Just as agencies playing god further degrade the natural systems they claim to be "restoring" with ever-grander interventions, so too is the Fed destroying the U.S. economy with equivalent god-like meddling and ever-more grandiose, ever-more delusional interventions in what were once decentralized, self-organizing systems that naturally sought harmony and stability through the low-level churn of bad bets being written off and over-leveraged speculators going bankrupt.
Put another way: the Fed has taken the risks generated by predatory institutions and policies, and distributed it throughout the entire financial system. This distribution of risk in service of maintaining asset bubbles creates the illusion of stability, low risk and "sure thing" speculation.
Rather than let over-leveraged speculators and institutions reap the consequences of their excesses, the Fed (and other central banks) have loaded the entire system with risk.
Until the system implodes--you're a genius.
One Of The World's Biggest Sovereign Wealth Funds Is About To Become A Seller
China's Shadow-Lending Ecosystem Could Be As Large As $40 Trillion, PBOC Guesses
As a starting point, let's begin by reviewing the February, 2015 McKinsey report Debt and (not much) Deleveraging . I first referenced the report in this blog in March of 2015. The report focused on the world's, and particularly China's, rapidly building debt/leverage phenomenon (2014 Year End Data). I encourage you to re-read the entire report, but for those of you who are pressed for time, I'll give you the executive summary bullet-points right here:
- Debt continues to grow
- Reducing government debt will require a wider range of solutions
- Shadow banking has retreated, but non?bank credit remains important
- Households borrow more
- China's debt is rising rapidly
I'm hoping that the McKinsey authors will consider updating the report, bringing the figures current, as I believe these observations, figures and analysis are even more pertinent today than they were back in 2015.
China's Debt
So now, using McKinsey as a reference point, let's take a look at where we are today, via the FRED (St. Louis FED)data below.
The FRED (Federal Reserve Economic Data - Citations below) Chart below represents US Core Debt (as defined and provided by the BIS - Bureau of International Settlements) compared to China Core Debt, as a percentage of GDP. The third (bold Red) line represents China's debt levels adjusted for a "what-if" constant I'll explain shortly.
Lets dig into the numbers. We see from 2006 thru 2016 US Core Debt increased modestly from roughly 220% of GDP to 250% of GDP. However, China's Core Debt, relative to GDP nearly doubled during the same period, to roughly 260% of GDP.
Before we discus the above, let's talk about what GDP is (and isn't). GDP is:
C+I+G+(NX) or: (Consumption + Investment + Government Spending + (Exports-Imports)).
First, it's important to understand that increased GDP does not necessarily increase wealth or improve quality of life. A GDP calculation is measuring-stick for economic activity....nothing more. A GDP figure makes no representations as to the quality, efficiency or economic utility of the activity producing the GDP. i.e.) When my Dad was in the Army (WWII....the "big one") he talked about "practicing" digging fox holes. He and thousands of other soldiers would be told/ordered to dig holes and fill them in.....for no apparent reason other than to keep them busy. This activity, since he was being paid to do it, would increase GDP, even though it accomplished nothing more than wear them out and keep them out of the English pubs.
That said, here are a few examples of things that would significantly increase GDP.
Building a Superhighway, Bridge or Bullet Train connecting two uninhabited deserts or islands. (I+G)
Building a Ghost City. (I+G)
A military build up. (I+G)
Producing millions of tons of steel and cement held in a developer's CIP inventory. (I+G+C)
Creating even more manufacturing capacity (factories and mines) for steel, cement, etc.(I)
Building infrastructure. i.e.) Public works, water, power plants, tunnels, wells, utilities etc. (I+G)
Manufacturing phones, computers, clothing and consumer goods for export. (C+NX)
Buying tons of eCommerce stuff. (C)
Tearing down an abandoned building/high rise. (C+G)
Here are a few more you might not think about.....again, these are events/activities that increase GDP but don't necessarily increase wealth or quality of life.
A hurricane....all of the destruction has to be financed and rebuilt. (C+I+G)
Public Welfare and Housing Assistance Checks (C+G)
Single Payer Health Care (C+G)
Paying 10x as much for a medical procedure as you might pay in other countries (C)
So you get the point.....although it looks good on paper, incurring debt to build/finance things that aren't economically viable, produce little (or no) economic utility or fail to generate earnings and cash flow doesn't work too well over the long haul. At some point, the lenders won't be paid back.....or, as should happen in a free-floating world, if they are eventually paid back, they'll be paid back with a currency having a fraction of the purchasing power of the currency they initially loaned out to finance the activity.
China's "Productive GDP"
Now, let's get back to the bold Red line on the chart above and take some time to coin a phrase. We'll call it "Productive GDP" or PGDP. As any economist will tell you, desperate times call for desperate measures.....and new terminology! Let's say that China's "Productive" GDP, for lack of a better term, is defined as GDP excluding all of the over-building, non-productive excess capacity and accounting games created simply to hit the arbitrary 7%, etched in stone, silly, CCP mandated GDP growth target.
So let's further say that rather than the published, rock solid, 7%, annual NBS GDP growth rate, the "Productive", un-fudged, non-incentivized, PGDP growth rate is only 4.6%, (2/3rds of the published/reported rate), but still a remarkable number for an economy the size of
China's. Extrapolating the bold Red Line above, if GDP is "overstated" by a third, we illustrate/conclude that the ratio of Core Debt to "Productive" PGDP explodes to nearly 400%, much higher than the current G20 average of 240%.
Author's Note: You math aficionados out there might be observing that the bold red line doesn't consider the compounding impact (i.e. reducing the GDP growth rate in a prior year impacts the current year starting point). So the method illustrated (multiplying GDP by a constant) actually overstates GDP. That's absolutely correct. However, since I have no actual data to base my adjustment on, it's a guess, an arbitrary adjustment, so the compounding doesn't matter. Besides using a constant was just simply easier than trying to program the FRED model to compound the change. In any case, I'm just illustrating a point.
So far so good?
Shadow Banking
Now lets revisit the 2015 McKinsey Report (2014 data) bullet points above. Specifically:
Shadow banking has retreated, but non?bank credit remains important
Unfortunately, per the People's Bank of China (PBOC), Shadow Bank lending has reversed course abruptly and skyrocketed since the 2015 McKinsey report. Nobody really knows how big China's Shadow Bank ecosystem is, but the PBOC recently offered a rather shocking guess in their 2017 Financial Stability Report (pg.48). China's Off-Balance-Sheet, un-regulated, "Shadow" loans have grown to nearly US $37 Trillion (RMB 252.3 Trillion) and have surpassed China's US$34 Trillion, "On-Balance Sheet" bank assets as of the close of 2016. They also restated the 2015 numbers, increasing the 2015 figures to US$ 28 Trillion (RMB 189 Trillion), roughly doubling the 2015 figure.
Keep in mind, the PBOC estimating Non-Bank Shadow loans is a bit like the local Sheriff estimating "unreported financial crime". He doesn't have authority over the mechanics of the activity, lacks enforcement resources and therefore can't do much about preventing the crime(s). Even if he had authority and resource, he'd have a hard time zeroing in on the metric....criminals generally don't respond to surveys or self-report their schemes. Moreover, the Sheriff would have an incentive to under-estimate the problem and hope everything works out, since, at some point, someone is going to be held accountable. As history shows, and Chinese Bankers are well aware of this, financial scoundrels are normally exiled to horrific disgrace on a private tropical island with access to boatloads of Cayman Islands money.....so it goes.
Again, based solely on the usual, limited transparency inherent in PBOC reporting (good things are trumpeted and bad things are swept under the rug), a disclosure like this would indicate that the problem is potentially much larger than they are letting on. In the 2017 Financial Stability Report (an oxymoron if I've ever heard one) the PBOC restates the Shadow Bank Assets for 2014 and 2015 (as shown by the dotted line in the chart below). To my knowledge, no other major economy has ever experienced an acceleration anywhere near these levels of Non-Bank, Shadow debt relative to GDP, much less restated it in a gigantic "ooppps....our bad" buried in a couple of paragraphs in the bowels of a report. In China....they do things big. The bigger the better. The two Charts below, prepared by Capital Economics illustrate that we've apparently entered uncharted waters.
Although the fiercely independent citizens, politicians and bankers of Hong Kong and Singapore might disagree, we can generalize that the leverage in those economies (tall bars on the left of the chart) is inextricably linked to the Chinese financial system. If there were ever a potential "ground-zero" for a default- induced financial contagion Shang-Hong-apore would be it.
Shadow/Non-Bank Credit has become an absolutely essential tool for keeping all of the financial balls in the air. As reported by Ambrose Evans-Pritchard in a piece for the Telegraph:
Jahangir Aziz and Haibin Zhu from JP Morgan said the debts of the state-owned entities (SOEs) have alone reached 90pc of GDP or $13.3 trillion.
Nearly 60pc of new credit this year is being used to repay old loans. It takes four times as much new credit to generate a given amount of extra of GDP as it did a decade ago. "China's rising indebtedness has come to represent all that is disconcerting about their economy," they said in a report entitled "The Sum of All Fears".
Hmmmm....."The Sum of All Fears"....catchy little title for a financial/policy report! Tom Clancy would be proud....
Viewed another way, when we add the current, 2016 BIS figure, roughly US$28 Trillion of China's Core Debt plus the estimated US$37 Trillion +/- of Shadow debt (RMB 253.5 Trillion), we have a Debt/PGDP ratio approaching 900% of "Productive" PGDP. The Comparable, relatively constant, US ratio (250% +/-) is shown in blue below.
"Total Social Financing" (TSF)
Total Social Financing (TSF), a term of art the Chinese government introduced a few years ago to track the leverage in their economy, grew to RMB 155.99 trillion RMB (US$ 23 Trillion), up 12.8 percent from 2015, per the PBOC Report. (Pg. 28) The intent of this statistic is to track the "total financing" required by households and businesses. The process goes awry when we try to decipher exactly what's included in this metric and how the data is collected. There are numerous articles written on this topic and I've listed a few of them in the citations below. Suffice it to say that the consensus is, that a significant amount of Non-Bank Shadow financing is excluded from TSF. Interestingly, this metric, intended to show changes in the composition of how economic growth is financed, is actually misleading, since significant Shadow risk is omitted from the calculations.
Some Verifiable Numbers.....Bonds
As difficult as it is to measure China's fragmented Shadow Financial System, there are a few reported metrics which are presumably more reliable than others. China's bond markets are one such example. In the last two years (2015 & 2016) the value of new "Major" Chinese Bond issues (below) has actually exceeded the total amount outstanding of America's Corporate Bond market (about US$ 8.6 Trillion). Why is all of this new debt necessary? Again, most (60%?) of the new issues are used to roll over other bonds/debts/financing coming due.
Continuing the theme, Non-Performing Loans (NPL's) have somehow remained relatively constant, hovering just under 2% since 2011 as shown below. (pg. 44 of the PBOC Report)
How can this be? Perhaps it's just little old skeptical me, but usually, when borrowing skyrockets like this, underwriting is lax and bad loans go bad much
quicker. The universally accepted game bankers play to keep a bad loan from being reported as non- performing is to refinance it and change the terms....and (drum roll please....) ....like magic, it's a performing loan again! In all likelihood, that's what's happening with this fake NPL statistic. It's hard to believe that China's financial system hasn't already broken its economic foot as a consequence of kicking all of these NPL cans down the road, but somehow it just keeps chugging merrily along. As my favorite Irish pub drinking song goes...."Roll me over in the clover.....roll me over lay me down and do it again...this is number one....we've only just begun.....".
Protecting Your Blind Side - Hedging & Spitznagel's Tail Strategy
The Blind Side
Counter-intuitively, that is often not the case in the capital markets. The more asset valuations and risk rise, the more implied volatility tends to drop and therefore the cost of insuring financial assets typically fall. As the S&P 500 index nears the sumptuously round number of 2500 and valuations surpass levels preceding the Great Depression, the price of options to protect investors is deeply discounted. Provide valuable insight
The lead quote from Michael Lewis is in reference to NFL Hall of Famer Lawrence Taylor, otherwise known as LT, a defensive end for the New York Giants. LT was an exceptional player who not only threatened an opposing teamʼs offensive prowess but more importantly, the health of their quarterback. The Blind Side, by Michael Lewis, documented how teams were forced to pay dearly for insurance against this threat. The insurance came in the form of soaring salaries for strong left tackles who protect right handed quarterbacks from the so called "blind side" from which players like LT were attacking. The sacrifices teams made to shield their most valuable asset, the quarterback, limited the salaries that could be spent on players to boost their offensive fire power. LT taught general managers an important lesson - protecting your most important asset is vital in the quest for success.
Growing your wealth through good times and preserving it in bad times are the key objectives of wealth management. At times when the markets present "LT"-like threats, prudence argues for both a conservative posture and protection of assets.
While many investors continue to ignore the lopsided risk/return proposition offered by the equity markets, we cannot. Sitting on oneʼs hands and avoiding the equity market is certainly an option and one which we believe might look better over time than most analysts think. That said, it is not always a viable option for many professional and individual investors. Some investors have a mandate to remain invested in various asset classes to minimum required levels. In other cases, investors need to earn acceptable returns to help themselves or their clients adhere to their financial goals. Accordingly, the question we address in this article is how an investor can run with the bulls and take measures to avoid the horns of a major correction.
Risk vs. Reward
There are two divergent facts that make investing in todayʼs market extremely difficult.
1. The market trend by every measure is clearly any novice technician with a ruler projected at 45 degrees can see the trend and extrapolate ad infinitum.
2. Markets are extremely overvalued. Intellectually honest market analysts know that returns produced in valuation circumstances like those observed today have always been short-lived when the inevitable correction finally arrives.
In The Deck is Stacked we presented a graph that showed expected five-year average returns and the maximum drawdowns corresponding with varying levels of Cyclically-Adjusted Price-to- Earnings (CAPE) ratios since 1958. We alter the aforementioned graph, as shown below, to incorporate the odds of a 20% drawdown occurring within the next five years.
Over the next five years we should expect the following:
1. Annualizedreturnsof-.34%(green line)
2. Adrawdownof27.10%fromcurrent levels (red line)
3. 76%oddsofa20%orgreater correction (yellow bars)
In a recent article, 13D Research raised an excellent point quoting Steve Bregman of Horizon Kinetics:
"There is no factor in the algorithm for valuation. No analyst at the ETF organizer—or at the Pension Fund that might be investing—is concerned about it; itʼs not in the job description. There is, really, no price discovery. And if thereʼs no price discovery, is there really a market?"
If, as Bregman states, the market is awash with investors, traders and algorithmic robots that do not care about fundamentals or value, is there any reason to think the market cannot continue to ignore fundamentals and run higher? While such a condition can easily endure and propel prices to even loftier valuations, the precedent of prior bubbles dictates this does not end well. At some point, the reality of economic fundamentals which underlie prices reassert themselves. Accordingly, in the following section, we present a few hedging strategies that allow one to profit if the market keeps charging ahead and at the same time limit losses and/or profit if financial gravity reasserts itself.
Options
There are an infinite number of options strategies that one can deploy to serve all kinds of purposes. Even when narrowing down the list to purely hedging strategies one is left with an enormous number of possibilities. In this section, we discuss three strategies that involve hedging exposure to the S&P 500. The purpose is to give you a sense of the financial cost, opportunity cost, and loss mitigation benefits that can be attained via options.
Option details in the examples below are based on pricing as of July 24, 2017.
Elementary Put Hedge
This first option strategy is the simplest option hedge one can employ. A put provides its holder a right to sell a security at a given price. For instance, if you own the S&P 500 ETF (SPY) at a price of 100 and want to limit your downside to -10% you can buy a put with a strike price of 90. If SPY drops below 90, the value of the put will rise in line, dollar-for-dollar with the loss on SPY, thus nullifying net losses beyond 10%. Devising a similar strategy to manage a basket of stocks, ETFʼs or mutual funds is more complicated but similar.
To help visualize what a return spectrum might look like on a portfolio hedged in this manner consider a simple scenario in which one owns the S&P 500 (SPY) and hedges with SPY options. The following assumptions are used:
Own 400 shares of SPY at a price of $246.80 per share at the cost of $98,720.
The holding period is 1
Purchase SPY put options with a strike price of $230, expiration of 9/21/2018 and a cost of $9.15 per share and total cost of $915 per option. (Each option is equal to 100 shares)
The graph below provides the return profile of the long SPY position (black) and three hedged portfolios for a given range of SPY prices. The example provides three different hedging options to show what under-hedged (2 options), perfectly-hedged (4 options) and over- hedged (8 options) outcomes might look like.
Note the breakeven point (yellow circle) on the hedged portfolios occurs if SPY were to decline 10% to $221 per share. The cost of the options in percentage terms is shown on the right side of the breakeven point. It is the difference in returns between the black line and the dotted lines. Conversely, the benefit of the options strategies appears in the percentage return differentials to the left of the breakeven point. (Additional cost/benefit analysis of these strategies is shown further in the article) In this example, we assume the options are held to the expiration date. Changes in other factors such as time to expiration, rising or falling volatility, and intrinsic value will produce results that do not correspond perfectly with the results above at any point in time other than at the expiration date.
Collar
The elementary option strategy was straightforward as it only involved buying a one-year put option. Like the first strategy, a collar entails holding a security and buying a put to hedge the downside risk. However, to reduce the cost of the put option a collar trade requires one to also sell (write) a call option. A call option entitles the buyer/owner to purchase the security at the agreed upon strike price and the seller/writer of the option to sell it to them at the agreed upon strike price. Because the investor is selling/writing an option, he is receiving payment for selling the option. Incorporating the call option sale in a collar strategy reduces the net cost of the hedge but at the expense of upside returns.
To help visualize what the return spectrum might look like with a collared portfolio that owns the S&P 500 (SPY) and hedges with SPY options, consider the following assumptions:
Own 400 shares of SPY at a price of $246.80 per share at the cost of $98,720.
The holding period is 1
Purchase SPY put options with a strike price of $230, expiration of 9/21/2018 at the cost of $9.15 per share and total cost of $3,660. (Each option is equal to 100 shares) Sell/write SPY call options with a strike price of $270, expiration of 9/21/2018 at the cost of $3.75 per share and total benefit of $1,550.
As diagramed below, a collar strategy literally puts a collar or limit around gains and losses.
Writing the call option reduces the net hedging cost by $1,550, limits losses to 9% but caps the ability to profit if the market increases at 7.21%.
Bloomberg created an index that replicates a collar strategy. Bloombergʼs collar index (CLL) assumes that an investor holds the stocks in the S&P 500 index and concurrently buys 3-month S&P 500 put options to protect against market declines and sells 1-month S&P 500 call options to help finance the cost of the puts. As options expire new options are purchased.
The CLL and SPY returns were well correlated until the latter part of 2008. At this point, when volatility spiked and the markets headed sharply lower, the benefits of the collar were visible.
(Bloomberg assumes a different collar structure than we modeled and described).
Sptiznagelʼs Tail Strategy
Mark Spitznagel is a highly successful hedge fund manager and the author of a book we highly recommend called "The Dao of Capital." Spitznagel uses Austrian school economic principles and extensive historical data to describe his unique perspectives on investing. In pages 244- 248 of the book, he presents an options strategy that served him well in periods like today when valuations foreshadowed significant changes in market risk. The goal of the strategy is not to hedge against small or even moderate losses, as in the first two examples, but to protect and profit from severe tail risk that can destroy wealth like the recent experiences of 2000 and 2008.
Sptiznagelʼs strategy hedges a market long position with put options expiring in two months. On a monthly basis, he sells the put options and buys new options expiring in two months. The strike price on his options are 30% below current prices. To replicate his strategy and compare it to the ones above we assume the following:
Own 400 shares of SPY at a price of $246.80 per share at the cost of $98,720.
The holding period is 1
Purchase 82 SPY put options (equivalent to .50% of the portfolio value) with a strike price of $175 (30% out of the money), expiration of 9/15/2017 (2 months) at a cost of $.06 per share and total cost of $492. (Each option is equal to 100 shares)
For purposes of this example, new options are purchased when the current options mature every two months (Spitznagel sells and buys new options on a monthly basis). We also assume this hedge was already in place for a year resulting in an accrued trade cost of $2,952 (6 *$492) to date.
The graph below highlights the cost benefit analysis.
The strategy graphed above looks appealing given the dazzling reward potential, but we stress that the breakeven point on the trade is approximately 30% lower than current prices. While the cost difference to the right of the breakeven point looks relatively small, the axisʼs on the graph have a wide range of prices and returns which visually minimizes the approximate 6% annual cost. Similar strategies can be developed whereby one gives up some gains in a severe drawdown in exchange for a lower cost profile.
Cost/Benefit Table
The tables below compare the strategies detailed above to give a sense of returns and a cost/benefit analysis across a wide range of SPY returns.
The option strategies in this article are designed for the initial stages of a decline. Pricing of options can rise rapidly as volatility, a key component of options prices, increases. The data shown above could be vastly different in a distressed market environment. These options strategies and many others can be customized to meet investorʼs needs.
Summary
We insure our cars, houses, health and our lives. Why is the idea of hedging ones wealth rarely considered especially considering the cost of that protection actually falls as the market becomes more vulnerable? Given current market valuations along with a 76% chance of a 20%+ drawdown, we urge clients to consider implementing a defensive strategy of insuring your portfolio. Although option strategies compress returns, they serve to "defend the perimeter" in the event of a severe market correction. These strategies and many others like them yield peace of mind and the ability to respond clinically in the event of turmoil as opposed to reacting emotionally.
The rather simple examples in this article were created to give you a sample of the costs and benefits of hedging. When devising a hedging strategy, it often helps to draw a picture of an ideal but realistic return spectrum. From that point, a spreadsheet model can be used to try to create the desired return profile using available options.
In addition to options strategies, there are other means of hedging a long portfolio such as structured notes, volatility funds, and short funds. Portfolio construction is also an important natural means of mitigating exposure to losses. While the topic for future Unseen articles, they are ideas worth exploring and comparing to options strategies. Hedging and options analysis is a complex field limited only by imagination and market liquidity.