Algorithmic approaches to financial technology:
"Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms."-- |
| Beschreibung: | 21 PDFs (266 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369317471 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00329966 | ||
| 003 | IGIG | ||
| 005 | 20240117134413.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240117s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369317471 |q PDF | ||
| 020 | |z 9798369317464 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-1746-4 |2 doi | |
| 035 | |a (CaBNVSL)slc00005465 | ||
| 035 | |a (OCoLC)1417813849 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a HG106 |b .A4198 2024e | |
| 082 | 7 | |a 332.01/51 |2 23 | |
| 245 | 0 | 0 | |a Algorithmic approaches to financial technology |c Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 21 PDFs (266 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Investigation of the time pattern of bit green crypto: an arma modeling approach to unrave volatility -- Chapter 2. Algorithmic FinTech pioneering the financial landscape of tomorrow -- Chapter 3. Disruptive technologies in computational finance -- Chapter 4. Challenges and opportunities of machine learning in the financial sector -- Chapter 5. Sustainability-driven finance: reshaping the financial world -- Chapter 6. Masters of the market: unleashing algorithmic wizardry in finance -- Chapter 7. The impact of corruption on economic growth in Tunisia: an application of ARDL approach -- Chapter 8. A study on rural BPL households' perception towards financial inclusion schemes -- Chapter 9. Contribution of disruptive technologies in computational finance -- Chapter 10. Organizational citizenship behavior and employee retention -- Chapter 11. User experience and interaction in information applications: advanced human-machine interfaces -- Chapter 12. Assessing the impact of quality and internal control on academic institutions' performance: a case of study of HIBAG. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 01/17/2024). | ||
| 650 | 0 | |a Finance |x Mathematical models. | |
| 650 | 0 | |a Finance |x Technological innovations. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kumar, Pawan, |c (Professor of finance), |e editor. | |
| 700 | 1 | |a Singh, Amandeep |d 1982- |e editor. | |
| 700 | 1 | |a Taneja, Sanjay, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369317464 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1746-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00329966 |
|---|---|
| _version_ | 1816797087941001216 |
| adam_text | |
| any_adam_object | |
| author2 | Kumar, Pawan, (Professor of finance) Singh, Amandeep 1982- Taneja, Sanjay |
| author2_role | edt edt edt |
| author2_variant | p k pk a s as s t st |
| author_facet | Kumar, Pawan, (Professor of finance) Singh, Amandeep 1982- Taneja, Sanjay |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HG106 |
| callnumber-raw | HG106 .A4198 2024e |
| callnumber-search | HG106 .A4198 2024e |
| callnumber-sort | HG 3106 A4198 42024E |
| callnumber-subject | HG - Finance |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Investigation of the time pattern of bit green crypto: an arma modeling approach to unrave volatility -- Chapter 2. Algorithmic FinTech pioneering the financial landscape of tomorrow -- Chapter 3. Disruptive technologies in computational finance -- Chapter 4. Challenges and opportunities of machine learning in the financial sector -- Chapter 5. Sustainability-driven finance: reshaping the financial world -- Chapter 6. Masters of the market: unleashing algorithmic wizardry in finance -- Chapter 7. The impact of corruption on economic growth in Tunisia: an application of ARDL approach -- Chapter 8. A study on rural BPL households' perception towards financial inclusion schemes -- Chapter 9. Contribution of disruptive technologies in computational finance -- Chapter 10. Organizational citizenship behavior and employee retention -- Chapter 11. User experience and interaction in information applications: advanced human-machine interfaces -- Chapter 12. Assessing the impact of quality and internal control on academic institutions' performance: a case of study of HIBAG. |
| ctrlnum | (CaBNVSL)slc00005465 (OCoLC)1417813849 |
| dewey-full | 332.01/51 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332.01/51 |
| dewey-search | 332.01/51 |
| dewey-sort | 3332.01 251 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04095nam a2200457 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00329966</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240117134413.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240117s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369317471</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369317464</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-1746-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005465</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1417813849</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HG106</subfield><subfield code="b">.A4198 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">332.01/51</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Algorithmic approaches to financial technology </subfield><subfield code="c">Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">2024.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">21 PDFs (266 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Chapter 1. Investigation of the time pattern of bit green crypto: an arma modeling approach to unrave volatility -- Chapter 2. Algorithmic FinTech pioneering the financial landscape of tomorrow -- Chapter 3. Disruptive technologies in computational finance -- Chapter 4. Challenges and opportunities of machine learning in the financial sector -- Chapter 5. Sustainability-driven finance: reshaping the financial world -- Chapter 6. Masters of the market: unleashing algorithmic wizardry in finance -- Chapter 7. The impact of corruption on economic growth in Tunisia: an application of ARDL approach -- Chapter 8. A study on rural BPL households' perception towards financial inclusion schemes -- Chapter 9. Contribution of disruptive technologies in computational finance -- Chapter 10. Organizational citizenship behavior and employee retention -- Chapter 11. User experience and interaction in information applications: advanced human-machine interfaces -- Chapter 12. Assessing the impact of quality and internal control on academic institutions' performance: a case of study of HIBAG.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms."--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 01/17/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Finance</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Finance</subfield><subfield code="x">Technological innovations.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Pawan,</subfield><subfield code="c">(Professor of finance),</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Singh, Amandeep</subfield><subfield code="d">1982-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Taneja, Sanjay,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">9798369317464</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1746-4</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00329966 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369317471 |
| language | English |
| oclc_num | 1417813849 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 21 PDFs (266 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Algorithmic approaches to financial technology Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 21 PDFs (266 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Investigation of the time pattern of bit green crypto: an arma modeling approach to unrave volatility -- Chapter 2. Algorithmic FinTech pioneering the financial landscape of tomorrow -- Chapter 3. Disruptive technologies in computational finance -- Chapter 4. Challenges and opportunities of machine learning in the financial sector -- Chapter 5. Sustainability-driven finance: reshaping the financial world -- Chapter 6. Masters of the market: unleashing algorithmic wizardry in finance -- Chapter 7. The impact of corruption on economic growth in Tunisia: an application of ARDL approach -- Chapter 8. A study on rural BPL households' perception towards financial inclusion schemes -- Chapter 9. Contribution of disruptive technologies in computational finance -- Chapter 10. Organizational citizenship behavior and employee retention -- Chapter 11. User experience and interaction in information applications: advanced human-machine interfaces -- Chapter 12. Assessing the impact of quality and internal control on academic institutions' performance: a case of study of HIBAG. Restricted to subscribers or individual electronic text purchasers. "Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 01/17/2024). Finance Mathematical models. Finance Technological innovations. Electronic books. Kumar, Pawan, (Professor of finance), editor. Singh, Amandeep 1982- editor. Taneja, Sanjay, editor. IGI Global, publisher. Print version: 9798369317464 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1746-4 Volltext |
| spellingShingle | Algorithmic approaches to financial technology Chapter 1. Investigation of the time pattern of bit green crypto: an arma modeling approach to unrave volatility -- Chapter 2. Algorithmic FinTech pioneering the financial landscape of tomorrow -- Chapter 3. Disruptive technologies in computational finance -- Chapter 4. Challenges and opportunities of machine learning in the financial sector -- Chapter 5. Sustainability-driven finance: reshaping the financial world -- Chapter 6. Masters of the market: unleashing algorithmic wizardry in finance -- Chapter 7. The impact of corruption on economic growth in Tunisia: an application of ARDL approach -- Chapter 8. A study on rural BPL households' perception towards financial inclusion schemes -- Chapter 9. Contribution of disruptive technologies in computational finance -- Chapter 10. Organizational citizenship behavior and employee retention -- Chapter 11. User experience and interaction in information applications: advanced human-machine interfaces -- Chapter 12. Assessing the impact of quality and internal control on academic institutions' performance: a case of study of HIBAG. Finance Mathematical models. Finance Technological innovations. |
| title | Algorithmic approaches to financial technology |
| title_auth | Algorithmic approaches to financial technology |
| title_exact_search | Algorithmic approaches to financial technology |
| title_full | Algorithmic approaches to financial technology Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors. |
| title_fullStr | Algorithmic approaches to financial technology Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors. |
| title_full_unstemmed | Algorithmic approaches to financial technology Amandeep Singh, Sanjay Taneja, Pawan Kumar, editors. |
| title_short | Algorithmic approaches to financial technology |
| title_sort | algorithmic approaches to financial technology |
| topic | Finance Mathematical models. Finance Technological innovations. |
| topic_facet | Finance Mathematical models. Finance Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1746-4 |
| work_keys_str_mv | AT kumarpawan algorithmicapproachestofinancialtechnology AT singhamandeep algorithmicapproachestofinancialtechnology AT tanejasanjay algorithmicapproachestofinancialtechnology AT igiglobal algorithmicapproachestofinancialtechnology |