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Comparing present and accumulated value of annuities with

differ-ent interest rates

Sirous Fathi Manesh

Department of Statistics, Faculty of Science, University of Kurdistan, Sanandaj, Iran.

E-mail: sirus 60@yahoo.com

Abstract Assume we havekimmediate (due)-annuities with different interest rates. Leti= (i1, i2, ..., ik) andi∗= (i∗1, i

∗ 2, ..., i

k) be two vectors of interest rates such thati

is majorized byi. It’s shown that sum of present and accumulated value of annuities-immediate with interest rate i is grater than sum of present value of annuities-immediate with interest ratei∗. We also prove the similar results for annuities-due.

Keywords. Arithmetic mean, Majorization, Schur-convex function.

2010 Mathematics Subject Classification. 97M30, 62p05.

1. Introduction

Interest rate theory is a basic concept in financial and actuarial mathematics. Actuaries and business professionals use relevant mathematical relations for modeling and calculating present and accumulated value of cash flows in specific times. An annuity is a series of payments made at equal intervals and if the payments are level it is called level annuity which in this paper, we only consider this kind of annuity. Examples of annuities are regular deposit to a savings account, payments for life insurance, pension payments, regular payments for investing in funds, loans, etc. In annuities, it is usual to calculate the value of payment, considering interest rate, at the time of beginning contract, known as present value and at the end of contract, known as accumulated value.

LetXbe the amount of money which is invested for example in an invested fund with interest rate or inner internal return ratei, then accumulated value at timet(aftert years) will beAVt=X(1 +i)t and ifX invested at timet0< t, the present value of

X at time 0 will beP Vt0 =X(1 +i)−t0.

Annuity-immediate and annuity-due are two common annuities that appear in many kinds of financial and actuarial contracts. In the following, these annuities are defined.

Definition 1.1. Annuity-immediate is a kind of annuity in which payments of 1 are

made at the end of every year for n years.

Present value of annuity-immediate with interest rate i is denoted by an¯|i and

calculated as

an¯|i=

1−(1 +i)−n

i .

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Accumulated value of annuity-immediate is denoted bysn¯|i and calculated as

s¯n|i=

(1 +i)n1

i .

Definition 1.2. Annuity-due is a kind of annuity in which payments of 1 are made

at the beginning of every year for n years.

Present value of annuity-due with interest rateiis denoted by ¨an¯|i and calculated

as

¨ an¯|i=

1−(1 +i)−n

d ,

whered= i

1+i, known as discount rate. Accumulated value of annuity-due is denoted

by ¨sn¯|i and calculated as

¨ s¯n|i=

(1 +i)n1

d .

Obviously, we have that

¨

an−¯1|i= 1 +an¯|i, s¯n|i= 1 + ¨sn−¯1|i. (1.1)

For more details on theory of interest and annuities one may refer to [1, 2,4]. Let for a specified vectorx = (x1, . . . , xn)∈ Rn, denote the ith smallest of xi’s by

x(i)and any permutation ofxby (xΠ). Next we introduce the notion of majorization which is one of the basic tools in establishing various inequalities in mathematics and statistics. In [3], extensive and compressive details on the theory of majorization and its applications have been provided.

Definition 1.3. A vectorx∈Rn is said to be majorized by another vectory

Rn

denoted by x ≤m y, if Pji=1x(i) ≥P j

i=1y(i) for j = 1, . . . , n−1 and P n

i=1x(i) =

Pn

i=1y(i).

When the relation of majorization is hold between two vectors, they are ordered according to variation. The bigger vector by the sense of majorization is more scat-tered than the smaller one. For example, every vector majorizes the vector of its mean, i.e.,

(x1, ..., xn) m

≥(¯x, ...,¯x), (1.2)

where ¯x=n1Pn

i=1xi.

Definition 1.4. A real valued function φ(.) defined on set A ⊆ Rn is said to be

Schur-convex onA, ifφ(x)≤φ(y) for anyx,y∈Athatx≤my.

Definition 1.5. A setARn is said to be symmetric, ifx

Aimplies (xΠ)∈A.

Definition 1.6. A real valued functionφ(.) defined on symmetric setA⊆Rn is said

to be symmetric onA, ifφ(x) =φ(xΠ) for anyx∈A.

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Lemma 1.7. Let Abe the set with property

y∈Aandx≤my impliesx∈A.

A continuous functionφdefined on Ais Schur-convex on Aif and only if φis sym-metric and

φ(x1, s−x1, x3, ..., xn) is decreasing in x1≤

s 2,

for each fixeds, x3, ..., xn.

2. Main results

In this section, sums of present and accumulated values of immediate (due)-annuities will be considered. Let we have k annuities in n years with different interest rate i1, ..., ik, so the present and accumulated values of these annuities are

an¯|i1,...,ik =

k

X

j=1

a¯n|ij and (2.1)

sn¯|i1,...,ik =

k

X

j=1

sn¯|ij, (2.2)

respectively. Two following theorems prove the main results of this paper for annuity-immediate.

Theorem 2.1. Let I= (0,1), thena¯n|i1,...,ik is a Schur-convex function onI

k.

Proof. First, we prove the theorem for casek= 2. Without loss of generality, assume thati1=x, i2=c−xwhere 0< x≤ c2 <1, so we have that

an¯|x,c−x = an¯|x+a¯n|c−x

= 1−(1 +x) −n

x +

1−(1 +c−x)−n

c−x

=

n

X

l=1

(1 +x)−l+

n

X

l=1

(1 +c−x)−l (2.3)

Using Lemma1.7, it’s enough to show thatan¯|x,c−x is decreasing in 0< x≤ c2 <1. From (2.3) we have that

da¯n|x,c−x

dx =

k

X

l=1

−l(1 +x)−(l−1)+

k

X

l=1

l(1 +c−x)−(l−1)

=

k

X

i=1

l[(1 +c−x)−l−1−(1 +x)−l−1]≤0.

This completes the proof for case k = 2. Now for general case, using Lemma 1.7, it is enough to show that an¯|x,c−x,x3,...,x3 is decreasing in 0 < x ≤

c

2 < 1, for any arbitrary 0< x3 <1. Since an¯|x,c−x,x3,...,x3 =an¯|x,c−x+an¯|x3,...,x3, an¯|x,c−x,x3,...,x3 is decreasing in 0< x ≤ c

2 < 1, for any arbitrary 0< x3 < 1. This completes the

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Theorem 2.2. Let I= (0,1), thens¯n|i1,...,ik is a Schur-convex function onI

k.

Proof. We only prove the theorem for case k = 2. Extending the result for general casekwill be similar to the proof of Theorem2.1. Without loss of generality, assume thati1=x, i2=c−xwhere 0< x≤ c2 <1, so we have that

sn¯|x,c−x = sn¯|x+sn¯|c−x

= (1 +x)

n1

x +

(1 +c−x)n−1 c−x

=

n

X

l=1

(1 +x)l+

n

X

l=1

(1 +c−x)l. (2.4)

Using Lemma1.7, it’s enough to show thatsn¯|x,c−x is decreasing in 0< x≤ c2 <1.

From (2.4) we have that

dsn¯|x,c−x

dx =

k

X

l=1

=l(1 +x)l−1+

k

X

l=1

−l(1 +c−x)l−1

=

k

X

i=1

−l[(1 +c−x)l−1−(1 +x)l−1]≤0,

and this completes the proof for casek= 2.

Next theorem considers annuity-due.

Theorem 2.3. LetI= (0,1), then¨an¯|i1,...,ikands¨n¯|i1,...,ikare Schur-convex functions

onIk.

Proof. By combining (1.1) and (1.2), proof will be obvious.

The following corollary can be obtained from above mentioned theorems and (1.2).

Corollary 2.4. Leti1, ..., ikbekdifferent interest rate with arithmetic mean¯i. Then,

an¯|i1,...,ik ≥nan¯|¯i,

sn¯|i1,...,ik ≥nsn¯|¯i,

¨

an¯|i1,...,ik ≥na¨n¯|¯i,

¨

s¯n|i1,...,ik≥n¨s¯n|¯i.

By using the obtained inequalities in Corollary 2.4, we can compare present and accumulated value of k annuities with different interest rates with k annuities that have the same interest rate ¯i. In order to justify the result of Theorem2.1, in Figure 1, we plotan¯|i1,i2 for{(i1, i2)|i1+i2 = 0.24}. As we expected, an¯|i1,i2 is decreasing in 0≤i≤0.12 and takes its minimum value for (i1=i2= 0.12).

3. Conclusion

Given k annuities-immediate with present values an¯|i1, ..., a¯n|ik and accumulated

valuessn¯|i1, ..., sn¯|ik, we have proven that the sum of these present and accumulated

values are greater thannan¯|¯i and nsn¯|¯i, respectively. The simillar results also have

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Figure 1. Sum of two level annuities with interest ratesiand 0.24−i

for 0≤i≤0.12 andn= 10.

0.02 0.04 0.06 0.08 0.10 0.12

11.5

12.0

12.5

13.0

i an

|

i

,

0.24

i

References

[1] J. W. Daniel and L. J. F. Vaaler,Mathematical interest theory (second edition), Mathematical Association of America, 2009.

[2] S. G. Kellison,The theory of interest (third edition), Irwin/McGraw-Hill, 2009.

[3] A. W. Marshall, I. Olkin, and B. C. Arnold , Inequalities: theory of majorization and its applications, Springer, New York, 2011.

Figure

Figure 1. Sum of two level annuities with interest rates i and 0.24 − ifor 0 ≤ i ≤ 0.12 and n = 10.

References

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