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Fungsi Densitas Peluang Temporal (T-PDF) dari Dinamika Euro terhadap Dolar Amerika Serikat

Journal of Science and Applicative Technology · Vol. 3 No. 1 (2019)

DOI
10.35472/jsat.v3i1.193
ISSN
2581-0545
Published
2019-08-23
Publisher
Institut Teknologi Sumatra
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In this paper we discuss the dynamics of exchange rate of Euro (EUR) relative to United States dollar (USD). The data is observed from daily data in the period 1 January 2005 to 31 December 2012. In this period of global financial crisis which is affected the global economy. Therefore, an understanding of the exchange rate of EUR relative to USD is required. The Data is presented in the form of a diagram of a candlestick (candle). Statistical analysis on a mean of exchange rate of EUR relative to USD is applied to each monthly candle representation. The mean may vary per candle, which means that the mean as a function of time. A function of mean relative to time so commonly referred to as a moving average, or a trend. The continous of a trend is approached with linear interpolation and polynomial interpolation is based on the mean of the candle every month. The mean and standard deviation of exchange rate of EUR relative to USD generates a probability density function (pdf). A pdf is based on the assumption that the dynamics is normally distributed. The mean is dependent on time is called temporal probability density function (t-pdf). The trend of the dynamics of exchange rate of EUR relative to USD is implicitly represented in the t-pdf. By knowing t-pdf will help investors know the dynamics of the exchange rate of the EUR against the USD. Keywords: dynamics, exchange rate, candlestick, t-pdf

Collaboration network of the authors

40 authors · 98 co-authorship links · 7 across different organisations · showing the 40 most connected

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  • Universitas Halu Oleo
  • Hasanuddin University
  • State University of Malang
  • Indonesia Open University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Natalis RansiUniversitas Halu Oleo5
Arman ArmanUniversitas Halu Oleo5
Kadir KadirUniversitas Halu Oleo3
Busnawir BusnawirUniversitas Halu Oleo2
Lilis LaomeUniversitas Halu Oleo2
Norma MuhtarUniversitas Halu Oleo2
Herdi BudimanUniversitas Halu Oleo2
Danni Gathot HarbowoAffiliation unknown2
Masrukan -Affiliation unknown2
Ardhi PrabowoAffiliation unknown2
Lutfi Siva FauziyahAffiliation unknown2
La SurimiUniversitas Halu Oleo1
Jumadil NangiUniversitas Halu Oleo1
Adha Mashur SajiahUniversitas Halu Oleo1
Muhammad Andi FathoniUniversitas Halu Oleo1
Muhammad SudiaAffiliation unknown1
Umrana UmranaAffiliation unknown1
Amanda La HadiAffiliation unknown1
Safri SafriUniversitas Halu Oleo1
Untung UntungAffiliation unknown1
Nana SumarnaAffiliation unknown1
Sufriadin SufriadinHasanuddin University1
SUDIRMAN SUDIRMANState University of Malang1
Safari SafariAffiliation unknown1
Jafar JafarIndonesia Open University1
Juliana JulianaAffiliation unknown1
Rosliana EsoUniversitas Halu Oleo1
Jufra JufraAffiliation unknown1
Ambo Wonua NusantaraUniversitas Halu Oleo1
Sulastrianah SulastrianahUniversitas Halu Oleo1
Andi TenriawaruUniversitas Halu Oleo1
Ruslan RuslanUniversitas Halu Oleo1
Putu SudayasaUniversitas Halu Oleo1
Samirudin RujumiAffiliation unknown1
BusnawirAffiliation unknown1
Mustamin AnggoUniversitas Halu Oleo1
Tatiriah .Affiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2581-0545/works, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Fungsi Densitas Peluang Temporal (T-PDF) dari Dinamika Euro terhadap Dolar Amerika Serikat</dc:title><dc:creator>Muliawati, Triyana</dc:creator><dc:creator>Kartono, .</dc:creator><dc:creator>Cahyono, Edi</dc:creator><dc:description>&lt;jats:p&gt;In this paper we discuss the dynamics of exchange rate of Euro (EUR) relative to United States dollar (USD). The data is observed from daily data in the period 1 January 2005 to 31 December 2012. In this period of global financial crisis which is affected the global economy. Therefore, an understanding of the exchange rate of EUR relative to USD is required. The Data is presented in the form of a diagram of a candlestick (candle). Statistical analysis on a mean of exchange rate of EUR relative to USD is applied to each monthly candle representation. The mean may vary per candle, which means that the mean as a function of time. A function of mean relative to time so commonly referred to as a moving average, or a trend. The continous of a trend is approached with linear interpolation and  polynomial interpolation is based on the mean of the candle every month. The mean and standard deviation of exchange rate of EUR relative to USD generates a probability density function (pdf). A pdf is based on the assumption that the dynamics is normally distributed. The mean is dependent on time is called temporal probability density function (t-pdf). The trend of the dynamics of exchange rate of  EUR relative to USD is implicitly represented in the t-pdf. By knowing t-pdf will help investors know the dynamics of the exchange rate of the EUR against the USD.&amp;#x0D;
Keywords: dynamics, exchange rate, candlestick, t-pdf&lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatra</dc:publisher><dc:date>2019-08-23</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.35472/jsat.v3i1.193</dc:identifier><dc:identifier>10.35472/jsat.v3i1.193</dc:identifier><dc:source>Journal of Science and Applicative Technology; Vol 3 No 1 (2019); 17</dc:source><dc:source>2581-0545</dc:source><dc:relation>https://journal.itera.ac.id/index.php/jsat/article/download/193/89</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>