Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

A young person with no initial capital invests \(k\) dollars per year at an annual rate of return \(r\). Assume that investments are made continuously and the return is compounded continuously. $$ \begin{array}{l}{\text { (a) Determine the sum } S(t) \text { accumulated at any time } t} \\ {\text { (b) If } r=7.5 \% \text { , determine } k \text { so that } \$ 1 \text { million will be available for retirement in } 40 \text { years. }} \\ {\text { (c) If } k=\$ 2000 / \text { year, determine the return rate } r \text { that must be obtained to have } \$ 1 \text { million }} \\ {\text { available in } 40 \text { years. }}\end{array} $$

Short Answer

Expert verified
Answer: Approximately $823.20 per year.

Step by step solution

01

Understanding continuous compounding formula

The general formula for continuous compounding with a constant rate of return is: $$S(t) = P \cdot e^{r \cdot t}$$ where S(t) is the accumulated amount at time t, P is the initial capital, r is the rate of return, and t is the time in years.
02

(a) Step 2: Determine S(t) in terms of k and r

Since investments are made continuously, we need to use integration. Let's represent the continuous investment flow with the function f(t) = k. We can compute the total sum, S(t), as follows: $$S(t) = \int_0^t k e^{r(u-t)} du$$
03

(b) Step 3: Calculate the value of k for r = 7.5% and t = 40 years

We want to have 1 million dollars by the end of 40 years. We set S(40) = 1000000 and r = 0.075. We can now solve for k: $$1000000 = \int_0^{40} k e^{0.075(u-40)} du$$, $$k = \frac{1000000}{\int_0^{40} e^{0.075(u-40)} du} $$ Calculating this integral using the fundamental theorem of calculus, we get: $$k = \frac{1000000}{\left[\frac{1}{0.075} e^{0.075(u-40)}\right]_0^{40}} = 823.20$$ Thus, the person would need to invest approximately $823.20 per year.
04

(c) Step 4: Calculate the value of r for k = $2000/year and t = 40 years

We want to have 1 million dollars at the end of 40 years. We set S(40) = 1000000 and k = 2000. We can now solve for r: $$1000000 = \int_0^{40} 2000 e^{r(u-40)} du$$, $$r = \frac{\ln{\left(\frac{1000000}{2000}\cdot\int_0^{40} e^{-(u-40)} du\right)}}{(40-0)}$$ Calculating this integral using the fundamental theorem of calculus, we get: $$r = \frac{\ln{\left(\frac{1000000}{2000}\cdot\left[-e^{-(u-40)}\right]_0^{40}\right)}}{40} = 0.0566$$ Thus, a return rate of approximately 5.66% is required to have $1 million available in 40 years.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Rate of Return
A crucial concept in investing is the "Rate of Return." It measures how much profit or loss an investment generates compared to its initial cost over a specific period.
This rate is often expressed as a percentage and helps investors evaluate the potential success of an investment.
  • A higher rate of return indicates a more profitable investment.
  • A negative rate could signal a loss.
In our problem, the rate of return is compounded continuously. This means that the interest earned on the initial amount is constantly being reinvested at the same rate.
This approach leads to exponential growth because the interest itself earns interest, compounding infinitely in theory.
For example, if an investment has a continuous annual return of 7.5%, it continuously grows by this percentage, providing an investor with more return over time compared to simple interest. This makes understanding the actual impact of rates critical in long-term financial planning.
Continuous Investment
When it comes to savings and investment, "Continuous Investment" is a strategy where you systematically invest a fixed amount of money at regular intervals over time.
This concept is essential when dealing with investments compounded continuously, like in the provided exercise.
  • It involves consistent investment, regardless of market conditions.
  • This approach reduces the overall impact of volatility in investments.
In the exercise, continuous investment is depicted by the function \( f(t) = k \), where \( k \) is the constant amount invested every year. The use of integration allows one to calculate the sum accumulated over a period, providing a very realistic model of real-life investment growth.
By investing continuously, investors can reap the benefits of compounding interest, significantly boosting the amount accumulated over longer periods.
Integration in Economics
Integration is a fundamental calculus technique often used in economics to find total values of continuously changing quantities over time.
This technique is especially useful for computing the value of investments that grow through continuous compounding.
  • Integration sums up infinitesimally small contributions to find a total amount.
  • It can handle complex real-world calculations more accurately.
In the provided step-by-step solution, integration was used to determine the accumulated sum \( S(t) \) over a period \( t \). It combined the constant investment figure \( k \) with the growth factor \( e^{r(u-t)} \), capturing the continuous return of investment. When solving for \( k \) and \( r \), the integration results helped determine the necessary yearly investment and rate of return to achieve financial goals. Knowing how to apply integration enables you to model, predict, and plan economic activities efficiently.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Determine whether or not each of the equations is exact. If it is exact, find the solution. $$ (y / x+6 x) d x+(\ln x-2) d y=0, \quad x>0 $$

Involve equations of the form \(d y / d t=f(y)\). In each problem sketch the graph of \(f(y)\) versus \(y,\) determine the critical (equilibrium) points, and classify each one as asymptotically stable or unstable. $$ d y / d t=a y+b y^{2}, \quad a>0, \quad b>0, \quad-\infty

Solve the differential equation $$ \left(3 x y+y^{2}\right)+\left(x^{2}+x y\right) y^{\prime}=0 $$ using the integrating factor \(\mu(x, y)=[x y(2 x+y)]^{-1}\). Verify that the solution is the same as that obtained in Example 4 with a different integrating factor.

Epidemics. The use of mathematical methods to study the spread of contagious diseases goes back at least to some work by Daniel Bernoulli in 1760 on smallpox. In more recent years many mathematical models have been proposed and studied for many different diseases. Deal with a few of the simpler models and the conclusions that can be drawn from them. Similar models have also been used to describe the spread of rumors and of consumer products. Daniel Bemoulli's work in 1760 had the goal of appraising the effectiveness of a controversial inoculation program against smallpox, which at that time was a major threat to public health. His model applies equally well to any other disease that, once contracted and survived, confers a lifetime immunity. Consider the cohort of individuals born in a given year \((t=0),\) and let \(n(t)\) be the number of these individuals surviving \(l\) years later. Let \(x(t)\) be the number of members of this cohort who have not had smallpox by year \(t,\) and who are therefore still susceptible. Let \(\beta\) be the rate at which susceptibles contract smallpox, and let \(v\) be the rate at which people who contract smallpox die from the disease. Finally, let \(\mu(t)\) be the death rate from all causes other than smallpox. Then \(d x / d t,\) the rate at which the number of susceptibles declines, is given by $$ d x / d t=-[\beta+\mu(t)] x $$ the first term on the right side of Eq. (i) is the rate at which susceptibles contract smallpox, while the second term is the rate at which they die from all other causes. Also $$ d n / d t=-v \beta x-\mu(t) n $$ where \(d n / d t\) is the death rate of the entire cohort, and the two terms on the right side are the death rates duc to smallpox and to all other causes, respectively. (a) Let \(z=x / n\) and show that \(z\) satisfics the initial value problem $$ d z / d t=-\beta z(1-v z), \quad z(0)=1 $$ Observe that the initial value problem (iii) does not depend on \(\mu(t) .\) (b) Find \(z(t)\) by solving Eq. (iii). (c) Bernoulli estimated that \(v=\beta=\frac{1}{8} .\) Using these values, determine the proportion of 20 -year-olds who have not had smallpox.

Determine whether or not each of the equations is exact. If it is exact, find the solution. $$ \frac{x d x}{\left(x^{2}+y^{2}\right)^{3 / 2}}+\frac{y d y}{\left(x^{2}+y^{2}\right)^{3 / 2}}=0 $$

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free