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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Allameh Tabataba'i University Press</PublisherName>
				<JournalTitle>Journal of Mathematics and Modeling in Finance</JournalTitle>
				<Issn>2783-0578</Issn>
				<Volume>3</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Estimating the parameters of 3/2 stochastic volatility model with jump</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>137</FirstPage>
			<LastPage>143</LastPage>
			<ELocationID EIdType="pii">16237</ELocationID>
			
<ELocationID EIdType="doi">10.22054/jmmf.2023.75272.1101</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Safdari-Vaighani</LastName>
<Affiliation>Department of mathematics, Allameh Tabataba’i University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Pooya</FirstName>
					<LastName>Garshasebi</LastName>
<Affiliation>Department of Mathematics, Allameh Tabataba'i University, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>05</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>The financial markets reveal stylized facts that could not be captured by Black-Scholes partial differential equations (PDEs).  In this research, we investigate 3/2 stochastic volatility to pricing options which is more compatible with the interpretation of implied volatility. Numerical study and calibrations show that the 3/2 model incorporating jumps effectively encompasses key market characteristics attributed. However, it requires more estimating parameters in comparison to the pure diffusion model. Stochastic volatility models with jumps describe the log return features of the financial market although more parameters are involved in estimations.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Black-Scholes model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic volatility models</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">3/2 model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">3/2 plus jump model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmmf.atu.ac.ir/article_16237_294db77302e1c3137a6b83d8e75b35eb.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
