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    <title>DSpace Community:</title>
    <link>https://space.mu.ac.zm/xmlui/handle/123456789/15</link>
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    <pubDate>Thu, 07 May 2026 02:43:17 GMT</pubDate>
    <dc:date>2026-05-07T02:43:17Z</dc:date>
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      <title>DSpace Community:</title>
      <url>http://space.mu.ac.zm:8080/jspui/retrieve/f612ea43-7cb9-4a6a-8af1-5ed2abfc4dff/</url>
      <link>https://space.mu.ac.zm/xmlui/handle/123456789/15</link>
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      <title>DNA Fingerprinting and Forensic Analysis Laboratory manual</title>
      <link>https://space.mu.ac.zm/xmlui/handle/123456789/183</link>
      <description>Title: DNA Fingerprinting and Forensic Analysis Laboratory manual
Authors: Simwatachela, Hyden
Abstract: The manual outlines principles and protocols used in the techniques involved in DNA fingerprinting and forensic analysis.</description>
      <pubDate>Mon, 16 Nov 2020 00:00:00 GMT</pubDate>
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      <dc:date>2020-11-16T00:00:00Z</dc:date>
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      <title>Minimizing the probability of ultimate ruin by proportional reinsurance and investments</title>
      <link>https://space.mu.ac.zm/xmlui/handle/123456789/146</link>
      <description>Title: Minimizing the probability of ultimate ruin by proportional reinsurance and investments
Authors: Kasumo, Christian
Abstract: The study was conducted on the topic: Minimizing the Probability of Ultimate Ruin&#xD;
by Proportional Reinsurance and Investments. The purpose of the study was to&#xD;
determine the role of investments in minimizing the probability of ultimate ruin of an&#xD;
insurance company, to assess the impact of proportional reinsurance on the survival&#xD;
of insurance companies as well as to determine the optimal reinsurance percentage b ∈ (0,1].&#xD;
The study considered a risk process comprising a diﬀusion-perturbated insurance&#xD;
process and a diﬀusion-perturbated investment generating process in which invest&#xD;
ments were modelled as a Black-Scholes model. The Hamilton-Jacobi-Bellman (HJB)&#xD;
equation for this problem was derived, as well as its corresponding Volterra integro&#xD;
diﬀerential equation which was then tranformed into a linear Volterra integral equa&#xD;
tion of the second kind. This integral equation was then solved using the block-by&#xD;
block numerical method for the retention percentage that minimizes the probability&#xD;
of ultimate ruin. The major ﬁndings of this study were as follows:&#xD;
1. That, as expected, the higher the investment rate, the lower the ruin probabil&#xD;
ity. Furthermore, the study has revealed that volatility of stock prices results&#xD;
in higher ruin probabilities.&#xD;
2. That for a given initial surplus, the ruin probabilities keep reducing as the value&#xD;
of the retention level b reduces. After a certain b, however, the ruin probabilities&#xD;
begin rising again, giving an indication of the location of the optimal retention&#xD;
percentage b∗.&#xD;
3. That the optimal retention level, given certain assumptions regarding the ﬂow&#xD;
of premium incomes, is b∗ = 0.315034 for the small claim case and b∗ = 0.461538&#xD;
in the case of large claims.&#xD;
vii&#xD;
Some recommendations have also been made with regard to strategies that could be&#xD;
used by insurance companies to minimize their ultimate ruin probabilities. The study&#xD;
has recommended that in order to minimize their ruin probabilities insurers should&#xD;
invest their surplus in both risky and risk-free assets. It has also been recommended&#xD;
that insurers buy reinsurance as it helps in reducing the probability of ultimate&#xD;
ruin for insurance companies. But, given certain assumptions regarding the ﬂow of&#xD;
premium incomes, insurers can only reinsure optimally when b∗ = 0.315034 for small&#xD;
claims and b∗ = 0.461538 for large ones.</description>
      <pubDate>Thu, 01 Sep 2011 00:00:00 GMT</pubDate>
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      <dc:date>2011-09-01T00:00:00Z</dc:date>
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