Jan 25, 2018

Weekend Links - 1/25/18

QUOTE OF THE DAY


..the rates are uncertain and everything about the uncertainty is uncertain.  

          – Turner et. al. on the influence of mortality rates on pension liabilities.


RETIREMENT FINANCE AND PLANNING

Note: My goal was not to turn this into "Mindlin week" at RH even though he seems to he well represented today.  The point of weekend-links is not promotion of people or ideas it is, in rough terms, a list of what I've been reading over the last week that might be relevant to what I am doing.

The hypothesis for this exploration is that POF based decision rules can be developed to warn a retiree that his retirement withdrawals during adverse returns sequences may put his distributions at risk of depletion within his lifetime. With such a warning, these same decision rules may suggest a method to adjust either the portfolio allocation and/or withdrawal amount to avoid running out of money before death. The point of reference for Guyton-type decision rules is based on an initial withdrawal rate. This is, by definition, a time reference to some point in the past. But what time point is relevant for this decision? This paper will shift the point of reference for decision rules into the future by using a future oriented reference point for the time function. This paper will also use current withdrawal rates as opposed to initial withdrawal rates… Changing asset allocation as a stand-alone strategy to address sequence risk is not effective. In other words, changing portfolio allocation in response to sequence risk in ineffective… Arguably, no predictive metric may be available. However, Probability of Failure appears to be an effective management tool as a response to exposure to sequence risk.   

The Dynamic Implications of Sequence Risk on a Distribution Portfolio. Executive Summary; Frank and Blanchett [June 2010 - Journal of Financial Planning]
"sequence risk is always [emphasis added] present in the short term, and can be measured indirectly through the current [i.e., as measured or sampled in the unfolding future "present" moment] probability of failure of the current withdrawal rate over the remaining distribution period…the current year is the first year in the time sequence, regardless of how many years remain in the sequence or how many years may have passed."  [I have blogged on this fairly often before.  I am surprised by how infrequently I see this concept of an explicitly continuous retirement discussed like this] 

The objectives and risks should reflect the best interests of the stakeholders of
investment programs in the most straightforward manner. For example, if the
primary objective is to fund a pre-determined level of post-retirement spending,
then the primary risk should be defined as “a failure to fund a pre-determined
level of post-retirement spending.” All scenarios that may lead to this failure
should be considered. Doing otherwise may lead to sub-optimal investment
solutions and be a disservice to the program’s stakeholders.


The design of optimal policy portfolios can be put in a much more expansive theoretical framework of game theory. The investor and his ageing "clones" that make future asset allocation decisions can be viewed as "players" that have objectives, actions, and preferences. Under common rationality assumptions, an optimal policy portfolio should represent a Nash Equilibrium (NE) strategy – one of the key concepts of game theory. In general, Nash equilibrium policy portfolios are not stationary. Thus, the CDI framework justifies evolving policy portfolios.4  … CDI is related to Liability Driven Investing (LDI) – a much publicized framework for managing pension plan liabilities that offers a range of liability driven investment strategies. CDI and LDI have the same starting point – both frameworks are based on the objective to fund pension benefits. The key difference is in the next step. In LDI, the next step is the definition of a deterministic present value of pension benefits called "liability." The investment objectives are specified next. The "liability" plays a major role in the investment objectives – it actually "drives" pension investing, as advertized in the title. LDI imposes the following "order of operations": to define the "liability" first and specify investment objectives next. Furthermore, LDI promotes asset-"liability" matching as a proxy for the funding objective. As discussed earlier, the "order of operations" in CDI is exactly the opposite: to specify investment objectives first and select the appropriate present values next. CDI incorporates the funding objective directly without any proxy. The assumptions in CDI are less restrictive than in LDI, therefore CDI is a generalization of LDI.5 

Regrettably, the proponents of LDI have skipped over certain vital aspects in the development of a comprehensive approach to asset allocation LDI is proclaimed to be. Somewhere between LDI’s origins and its practical recommendations, certain shortcuts have been taken; certain corners have been cut; certain unnecessary impractical assumptions have been made… While LDI asserts that there is the single dominant measurement of the commitment – the "liability," – CDI maintains that the multitude of challenges retirement plans face require a multitude of measurements. Conceptually, LDI and CDI are at odds… no accounting “liability” behaves exactly like a portfolio of tradable bonds…. The claim that there exists a measurement of the commitment (“liability”) that is superior to any other measurement and, therefore, must “drive” retirement investing defies common sense. Virtually any object has a multitude of measurements, and such a multifaceted object as a financial commitment is no exception. The best measurement always depends on the purpose of the measurement – the purpose comes first, the right measurement for the purpose is selected next. In LDI, this "order of operations" is reversed – a measurement is given first, purpose is given later (if ever). 

So it makes sense to replace the bond allocation with a little bit of cash. The key here though is not to overdo it. I have heard tales of advisers holding five years’ worth of cash (by reducing equity allocation). This approach doesn’t work unless you increase the equity allocation significantly in the rest of the portfolio to compensate for the cash drag. In any case, replenishing the cash reserve through systematic rebalancing will likely result in poorer outcome than a fully invested portfolio. I examined the results using UK equities and UK bonds instead of the global equities and bonds, and the key findings are consistent. The point here is, if you’re going to implement a cash reserve buffer, take it from your bond allocation. Equities aren’t the enemy! 

  • The key messages of this article are the following. The utilization of “low-risk” discount rates to discount “low risk” financial commitments is a choice, not a requirement supported by a sound economic theory. The claim that there exists “the only appropriate way to calculate the present value” is little more than an attempt to apply certain principles of finance beyond the scope of their applicability.
  • The primary risks embedded in bond pricing and actuarial valuations are fundamentally different. The financial health of the bond issuer is at the heart of bond pricing. In contrast, the financial health of the pension plan – not necessarily the plan sponsor – is at the heart of a typical actuarial valuation.
  • The uncritical application of the principles of bond pricing to pension funding is another example of a valid concept that becomes inapplicable when taken out of its proper context.
  • The economic foundation for the requirement that pension benefits must be priced similar to tradable assets is shaky at best and probably non-existent.
  • It is hard to find an object that has one measurement that is clearly superior to all other measurements. Virtually all objects have multiple attributes that require multiple measurements. Yet, the proponents of the only appropriate way to calculate the present value essentially have designated pension benefits as an object that is uniquely different.  
A relevant portfolio is specified first; its return(s) and related discount rate(s) are specified next… Traditionally, pension actuaries calculate present values of pension commitments and the contributions required to fund (not necessarily to price) these commitments. Yet the practice note is virtually silent about traditional actuarial work… present values can be calculated without discount rates. A discount rate is a choice, not a necessity [emphasis added] 

With the stochastic funding parameter approach, while the exact discount rate (hurdle rate) used to determine adequate funding depends on the risk to the assets, the risk to the liabilities, and the duration of the liabilities, a simple rule of thumb can be stated. That rule would be to select a discount rate that is less than the expected rate of return on assets but greater than the risk free rate, with the discount being greater the higher the percentage of the portfolio invested in equity and the longer the duration of the liabilities.


MARKETS AND INVESTING

The Markowitz and Usmen (MU) (2003) simulation study reported Michaud (1998) mean-variance (MV) portfolio optimization superior to Markowitz (1952, 1959) out-of-sample on average in each of thirty cases examined. However, a simplified replication of the MU test found thirty percent failures of Michaud relative to Markowitz. Instances of Michaud failures were associated with asset risk and return characteristics inconsistent with diversified portfolio risk management. Risk-return properties in professional asset allocations and large universe portfolio optimizations may often be similarly perverse. The simulation framework in Michaud (1998) can be a valuable diagnostic for risk-return estimate diversification perversity when appropriately applied. Our results underscore the necessity of investment sense oversight and validation for successful application of quantitative methods. [not read. This is here as a placeholder for future reading because I have read other pieces of his work] 

There is perhaps no more mangled nor misunderstood part of financial analysis than the handling of currencies, and globalization has only made the problems worse. From the laziness of assuming that government bond rate in a currency is always the risk free rate in that currency, to nonsensical notions like a global risk free rate, to bad practices like discounting peso cash flows with dollar discount rates, the list of currency sins is long. In this post, I look at three of the most common misconceptions related to currencies and use them to update currency related numbers at the start of 2018. 


ALTERNATIVE RISK

Overconfidence in personal beliefs and inattention to new trends are widespread in financial markets. If specific behavioural biases become common across investors they constitute sources of mispricing and – hence – return factors. Indeed, overconfidence and inattention can be quantified as factors to an equity market pricing model and seem to capture a wide range of pricing anomalies. This suggests that detecting sources of behavioural biases, such as attachment to ideological views or laziness in the analysis of data, offers opportunities for systematic returns. 

A manager comes into an office and talks about his use of complex tools for extract unique and special signals and many will be jumping across the table to invest. Another manager in the extreme says, "I don't try to predict, I follow trends and buy what is going up and sell what is falling" and it is a short meeting as you usher him to the elevator. 

The primary reason why this works so well is because it is a systematic way of aligning yourself with the success of corporate America over time. Corporate America, after all, is a big momentum machine that systematically kicks out inefficient entities so that newer more efficient entities can take their place. As consumers we tend to spend a little bit more money each year in a systematic manner and that growing monetary pool gets spent across an ever changing group of companies who compete for that money. This shows up in corporate profits in what looks like a big stream of profits with ever increasing momentum. 


SOCIETY AND CAPITAL

Contribute to Society…or else…, Andrew Ross Sorkin NYT

"[T]he way we design, produce, and use clothes has drawbacks that are becoming increasingly clear. The textiles system operates in an almost completely linear way: large amounts of non-renewable resources are extracted to produce clothes that are often used for only a short time, after which the materials are mostly sent to landfill or incinerated. More than USD 500 billion of value is lost every year due to clothing underutilisation and the lack of recycling. Furthermore, this take-make-dispose model has numerous negative environmental and societal impacts. For instance, total greenhouse gas emissions from textiles production, at 1.2 billion tonnes annually, are more than those of all international flights and maritime shipping combined. Hazardous substances affect the health of both textile workers and wearers of clothes, and they escape into the environment. When washed, some garments release plastic microfibres, of which around half a million tonnes every year contribute to ocean pollution – 16 times more than plastic microbeads from cosmetics. Trends point to these negative impacts rising inexorably ..." 

To inform economists and policy makers about whether the effects of nudges are persistent in one specific context, we study the choice architecture of the Swedish Premium Pension Plan. The data we study consist of all initial choices and subsequent rebalancing activities by the entire population of 7.3 million retirement savers in Sweden during the period 2000 to 2016. Based on our analysis of these data, we conclude that the effects of nudging in this case were surprisingly persistent and seem to last nearly two decades, if not forever. [beware of nudges.  Depending on how one defines it it can be a soft form of coercion that can be a foot in the door for other coersions…] 

I find that the number of years a teacher must work before she is eligible for her full pension benefit is the major driver of variation in pension wealth. This specification has the benefit of a flexible baseline hazard that can easily capture the sharp incentives driving a teacher’s retirement decision that are dependent on her proximity to retirement eligibility, and can flexibly account for differences driven by local labor market conditions. These analyses highlight important unintended effects  

"We find that illegal activity accounts for a substantial proportion of the users and trading activity in bitcoin. For example, approximately one-quarter of all users (25%) and close to one-half of bitcoin transactions (44%) are associated with illegal activity. Furthermore, approximately one-fifth (20%) of the total dollar value of transactions and approximately one-half of bitcoin holdings (51%) through time are associated with illegal activity. Our estimates suggest that in the most recent part of our sample (April 2017), there are an estimated 24 million bitcoin market participants that use bitcoin primarily for illegal purposes. These users annually conduct around 36 million transactions, with a value of around $72 billion, and collectively hold around $8 billion worth of bitcoin.  

How Gender Diversity Enhances the Bottom Line, visual capitalist        
There are many arguments that can be made for closing this gender gap, but the most compelling one is very simple: there’s a growing body of research that shows that gender diverse companies make more money.  


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