# 51  Present and future value

Comparison is an important element of human decision making. Often, comparison amounts to translating each of the options at hand into a scalar score. (Recall that a scalar is just an ordinary quantity, e.g. 73 inches. As we get more deeply involved with vectors it will become more important to be perfectly clear when we are talking about a vector and when about a scalar. So we will be using “scalar” a lot.) Scalars are easy to compare; the skill is taught in elementary school. Scalar comparison is completely objective. Putting aside the possibility of error, everyone will agree on which of two numbers is bigger. Importantly, comparison of scalars is transitive, that is if $$a > b$$ and $$b > c$$ then it is impossible that $$a \leq c$$.

The comparison of scalars can be extended to situations where the options available form a continuum and the score for each option $$x$$ is represented by a function, $$f(x)$$. As we saw in Chapters ?ssec-optim-and-shape and Section 49 selecting the highest scoring option is a matter of finding the argmax.

Many decisions involve options that have two or more attributes that are not directly comparable. Expenditure decisions have this flavor: Is it worth the money to buy a more reliable or prettier or more capable version of a product? The techniques of constrained optimization (Section 49) provide one useful approach for informing decisions when there are multiple objectives.

Elections are a form of collective decision making. The options—called, of course, “candidates”—have many attributes. Three such attitudes are attitudes toward social policy, toward fiscal policy, and toward foreign policy. Perceived honesty and trustworthiness as well as the ability to influence other decision makers and perceived ability to win the election are other attributes that are considered and balanced against one another. Ultimately the decision is made by condensing the diverse attributes into a single choice for each voter. The election is decided by how many votes the candidate garners. With this number attached to each of the candidates, it is easy to make the decision, $\text{winner} \equiv\mathop{\text{argmax}}_{i} \text{votes}(\text{candidate}_i)\ .$ There are many voting systems. For instance, sometimes the winner is required to have a majority of votes and, if this is not accomplished, the two highest vote-getting candidates have a run-off. Some jurisdictions have introduced “rank-choice” voting, where each voter can specify a first choice, a second choice, and so on. US federal elections involve a primary system where candidates compete in sub-groups before the groups complete against one another. It is tempting to think that there is a best voting system if only we were clever enough to find one and convince authorities to adopt it. But two mathematical theorems, Arrow’s impossibility theorem and the Gibbard-Satterthwaite theorem demonstrate that this is not the case for any system that involves three or more candidates. All such voting systems potentially create situations where a voter’s sincere interests are best served by an insincere, tactical vote choice. A corollary is that voters can be tricked into making a sincere choice that violates their interests.

This chapter is about a very common situation where there are multiple attributes that need to be condensed into a single score. The setting is simple: money. The question is how to condense a future income/expense stream—a function of time—into an equivalent value of money in hand at the present. This is called the present value problem. There is a solution to the problem that is widely accepted as valid, just as voting is a hallowed process of social optimization. But like voting, with its multiplicity of possible forms, there is a subtlety that renders the result somewhat arbitrary. This is not a situation where there is a single, mathematically correct answer but rather a mathematical framework for coming to sensible conclusions.

Consider the situation faced by an entrepreneur who is considering constructing an 8-rental-unit apartment building. The planning and construction process takes time and money. Let’s assume that $3,000,000 will be spent over three years to locate a suitable property, get the needed licenses and approvals, and build. For simplicity, we will model that by a piecewise function $$\text{construction}(t)$$: $\text{construction}(t) \equiv \left\{\begin{array}{cc} 1,000,000\ \text{per year} & \text{for}\ 0 \leq t \leq 3\\0& \text{thereafter.} \end{array} \right.$ Suppose the planned rent will be$3000 per month per apartment. That suggests $36,000 in rental income per apartment each year, but typically there are vacancies or renters who fail to pay, so let’s assume$32,000 per unit per year. For the 8-apartments, that is a total rental income of $250,000 per year: $\text{rental}(t) \equiv \left\{\begin{array}{cc} 0 & \text{for}\ 0 \leq t \leq 3\\250,000\ \text{per year}& \text{thereafter.} \end{array} \right.$ Maintenance is an additional expense. We will put that as a increasing function of $$t$$, starting at$50,000 per year when the building is complete (at the end of year 3) and rising linearly to $200,000 per year at the end of the 30-year project: $\text{maintenance}(t) \equiv \left\{\begin{array}{cc} 0 & \text{for}\ 0 \leq t \leq 3\\33333 + 5556 t\ \ \text{per year}& \text{thereafter.} \end{array} \right.$ Finally, assume that the business plan is to sell the building in year 30, at which point it is assumed to be worth$1,000,000:

$\text{sale}(t) \equiv \left\{\begin{array}{cc} 1,000,000\ \text{per year} & \text{for}\ 29 < t < 30\\0 & \text{otherwise}\end{array}\right.$ The income stream stops for $$30 < t$$.

Altogether, the income stream is $\text{income}(t) = \text{sale}(t) + \text{rental}(t) - \text{construction}(t) - \text{maintenance}(t)\ .$ Notice that construction and maintenance are considered as negative income. Figure 51.1 shows a graph of $$\text{income}(t)$$. Figure 51.1: The income stream for an apartment-building project. Following convention, positive income is “in the green”, and negative income is “in the red”.

## 51.1 Present value

People and institutions often have to make decisions about undertakings where the costs and benefits are spread out over time. For instance, a person acquiring an automobile or home is confronted with a large initial outlay. The outlay can be financed by agreeing to pay amounts in the future, often over a span of many years.

Another example: Students today are acutely aware of climate change and the importance of taking preventive or mitigating actions such as discouraging fossil fuel production, investing in renewable sources of energy and the infrastructure for using them effectively, and exploring active measures such as carbon sequestration. The costs and benefits of such actions are spread out over decades, with the costs coming sooner than the benefits. Policy makers are often and perhaps correctly criticized for overvaluing present-day costs and undervaluing benefits that accrue mainly to successive generations. There are many analogous situations on a smaller scale, such as setting Social Security taxes and benefits or the problem of underfunded pension systems and the liability for pension payments deferred to future taxpayers.

The conventional mechanism for condensing an extended time stream of benefits and costs is called discounting. Discounting is based on the logic of financing expenditures via borrowing at interest. For example, credit cards are a familiar mechanism for financing purchases by delaying the payment of money until the future. An expense that is too large to bear is “carried” on a credit card so that it can be paid off as funds become available in the future. This incurs costs due to interest on the credit-card balance. Typical credit-card interest rates are 18-30% per year.

The entrepreneur responds to the bank’s offer with some business jargon. “I’ll have to go back to the drawing board, put the team’s heads together, and see how to get the numbers to work. I’ll circle back with you tomorrow.” This might involve reconsidering her model of the income stream. Perhaps she should have taken into account yearly rent increases. Maybe she can re-negotiate with the city about zoning height restrictions and build a 12-unit building, which will cost $4 million, lowering the cost per apartment? ## 51.4 Mortgages A mortgage is a form of loan where you pay back the borrowed amount at a steady rate, month by month. At the end of a specified period, called the term of the mortgage, your have completely discharged the debt. Suppose you decide to buy a product that costs $$\\cal P$$, say $$\cal P=$$$10,000 for a used car. Let’s say you need the car for your new job, but you don’t have the money. So you borrow it.

Your plan is to pay an amount $$A$$ each month for 30 months—the next $$2\,\small\frac{1}{2}$$ years. What should that rate be?

You can put the purchase on your credit card at an interest rate of $$r=2\%$$ per month. This corresponds to $$k = \ln(1+r) = 0.0198$$ per month. The net present value of your payments over 30 months at a rate of $$A$$ per month will be

$\int_0^{30} A {\cal D}_r(t)\, dt = \int_0^{30} e^{-kt} A = -\frac{A}{k} e^{-kt}\left.{\Large\strut}\right|_{t=0}^{30}\\ =- A \left(\strut \frac{e^{-30k}}{k} - \frac{e^{-0k}}{k} \right)\\ = - A\left(\strut27.88 - 50.50\right) = 22.62 A$

The loan will be in balance if the net present value of the payments is the same as the amount $${\cal P}$$ you borrowed. For this 30-month loan, this amounts to $22.62 A = {\cal P}\ ,$ from which you can calculate your monthly payment $${\cal A}$$. For the $10,000 car loan, your monthly payment will be$10,000/22.62 or $442.09. ## 51.5 Exercises #### Exercise 52.02 Verify that the restriction ${\cal D}(T)\ {\cal D}(t) = {\cal D} (t+T)$ is satisfied, for any $$T$$ when ${\cal D}(t) \equiv e^{k t}\ .$ Also, confirm that, with this definition for $${\cal D}(t)$$, we have ${\cal D}(t=0) = 1\ .$ #### Exercise 52.04 The mathematician’s preferred format for discounting functions is $$e^{kt}$$, while the banker’s is $$(1+r)^{-t}$$. Derive an expression for $$k$$ in terms of $$r$$ so that the mathematician’s and banker’s forms are completely equivalent. Use the computer to confirm your expression by plotting out both $$(1+r)^{-t}$$ and $$e^{kt}$$, with $$k$$ set according to your expression. (Hint: Pick a particular interest rate, say $$r=7\%$$.) #### Exercise 52.06 The Powerball is a weekly lottery famous for its outsized payoff. For instance, for the week of April 7, 2021, the jackpot payout was officially described as$43,000,000. But they don’t really mean this.

After withholding taxes, the supposed $43,000,000 amounts to$17,161,778 as a one time cash payment, or, alternatively, 30 annual payments of $873,711. (The tax numbers are for Colorado.) We want to find the discount rate that is implicit in the equating of$17M now with 30 payments of $875,000. Discounted at a continuously compounded rate of $$k$$, the net present value of a 30-year payment stream of$875K per year is $\text{NPV}(k) = \int_0^{30} e^{-kt}\ \875000\, dt\ .$

1. Solve this definite integral symbolically to find a formula for NPV$$(k)$$.
1. Using a sandbox, implement the function NPV$$(k)$$ in R.
1. Solve for $$k_0$$ that gives NPV$$(k_0) = \17,000,000$$.
1. Translate the continuously compounded interest rate $$k$$ into the corresponding 1-year compounded interest rate $$r$$.

There is a joke that makes sense only to the financially savvy: When the Powerball claims a $1 million payout, they mean$1 per year over a million years. We can do this calculation using the symbolic formula for NPV(t) but replacing the $875,000 with$1 and the 30 years upper limit of the integral with 1,000,000 years.

1. Set the discount rate to the $$k_0$$ you found in step (3) and calculate the net present value of $1 per year for a million years. #### Exercise 52.08 In this exercise, you will calculate the net present value of the social security payments for a woman retiring at age 70. We will assume that benefits are paid at a rate of$24,000 per year.

The following R/mosaic commands will construct a function, survive(age) that gives the proportion of people alive at age 70 who will survive to an older age. (This is estimated from the Social Security mortality tables for 2014.)

survive <- M2014F %>%
filter(age >= 70) %>%
select(age, nliving) %>%
mutate(survival = nliving / 82818) %>%
spliner(survival ~ age, data = .)

For a person living to age 100, the net present value at age 70 of the \$24,000 annual social security benefit is $\int_{70}^{100} 24000 \exp(-k*(age-70))\, dt$ Calculate this amount for a continuously compounded interest rate of $$k=0.03$$ per year

1. Benefit payments stop when a beneficiary dies. Of course, it is not known ahead of time when a retiree will die, but the survive(age) function gives a probability of surviving to any given age.

Modify the integral to incorporate the survival probability into the net present value calculation. That is, calculate the expectation value of the net present value.

1. Is survive(age) a probability density function? Explain why or why not.