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Hattendorff's theorem

Hattendorff's theorem is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hattendorff's theorem rather than just read about it. In short: Hattendorff's Theorem, attributed to K. Hattendorff (1868), is a theorem in actuarial science that describes the allocation of the variance or risk of the loss random variable over the lifetime of an actuarial reserve.

Key takeaways

  • Hattendorff's theorem belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hattendorff's theorem to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hattendorff's theorem from memory before moving on to harder problems.

Reference excerpt

Hattendorff's Theorem, attributed to K. Hattendorff (1868), is a theorem in actuarial science that describes the allocation of the variance or risk of the loss random variable over the lifetime of an actuarial reserve. In other words, Hattendorff's theorem demonstrates that the variation in the present value of the loss of an issued insurance policy can be allocated to the future years during which the insured is still alive. This, in turn, facilitates the management of risk prevalent in such insurance contracts over short periods of time.

Hattendorff's Theorem The main result of the theorem has three equivalent formulations:

where:

In its above formulation, and in particular the first result, Hattendorff's theorem states that the variance of L h {\displaystyle L_{h}} , the insurer's total loss over the remaining life of the policy at time h, can be calculated by discounting the variances of the yearly net losses (cash losses plus changes in net liabilities) Λ k {\displaystyle \Lambda _{k}} in future years.

Background Source: In the most general stochastic setting in which the analysis of reserves is carried out, consider an insurance policy written at time zero, over which the insured pays yearly premiums π 0 , π 1 … π K ( x ) {\displaystyle \pi _{0},\pi _{1}\dots \pi _{K(x)}} at the beginning of each year starting today until the year of death of the insured. Furthermore, the insured receives a benefit of K ( x ) + 1 {\displaystyle K(x)+1} , at the end of the year of death, equal to b K ( x ) + 1 {\displaystyle b_{K(x)+1}} . No other payments are received nor paid over the lifetime of the policy. Suppose an insurance company is interested to know the cash loss from this policy over the year (h, h+1). Of course, if the death of the insured happens prior to time h, or when K ( x ) < h {\displaystyle K(x)<h} , then there is no remaining loss and C h = 0 {\displaystyle C_{h}=0} . If the death of the insured occurs exactly at time h, or when K ( x ) = h {\displaystyle K(x)=h} , then the loss on the policy is equal to the present value of the benefit paid in the following year, v b h + 1 {\displaystyle vb_{h+1}} , less the premium paid at time h. Hence in this case C h = v b h + 1 − π h . {\displaystyle C_{h}=vb_{h+1}-\pi _{h}.} Lastly, if the death of the insured occurs after time h, or when K ( x ) > h {\displaystyle K(x)>h} , then the cash loss in the year (h, h+1) is just the negative of the premium received at time h (cash inflows are treated as negative losses). Hence we summarize this result as

C h = { 0 if K ( x ) = 0 , 1 … h − 1 v b h + 1 − π h if K ( x ) = h − π h if K ( x ) = h + 1 , h + 2 … {\displaystyle C_{h}={\begin{cases}0&{\mbox{if }}K(x)=0,1\dots h-1\\vb_{h+1}-\pi _{h}&{\mbox{if }}K(x)=h\\-\pi _{h}&{\mbox{if }}K(x)=h+1,h+2\dots \\\end{cases}}}

Furthermore, the actuarial present value of the future cash losses in each year has the explicit formula

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hattendorff's theorem

Start with the simplest possible case. Write down what Hattendorff's theorem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hattendorff's theorem before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hattendorff's theorem ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hattendorff's theorem

In research
Hattendorff's theorem appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hattendorff's theorem in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hattendorff's theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Actuarial science, so understanding it makes those chapters shorter.
In everyday life
Look for Hattendorff's theorem outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hattendorff's theorem in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hattendorff's theorem means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hattendorff's theorem out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hattendorff's theorem in simple terms?

Hattendorff's Theorem, attributed to K. Hattendorff (1868), is a theorem in actuarial science that describes the allocation of the variance or risk of the loss random variable over the lifetime of an actuarial reserve.

Why does Hattendorff's theorem matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hattendorff's theorem?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hattendorff's theorem.

Tags

  • Actuarial science

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