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  Browse All Reviews > Computer Applications (J) > Administrative Data Processing (J.1) > Financial (J.1...)  
 
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  1-10 of 137 Reviews about "Financial (J.1...)": Date Reviewed
   Financial regulatory and risk management challenges stemming from firm-specific digital misinformation
Casey K., Casey K.  Journal of Data and Information Quality 11(1): 1-4, 2019. Type: Article

In today’s digital economy, it is easy to alter the essence of information with regards to both context and value; thus, the potential for misinformation is huge. With this paper, Casey and Casey excellently present a new risk management app...

Sep 30 2021
  Personal finance with Python: using pandas, Requests, and Recurrent
Humber M.,  Apress, New York, NY, 2018. 117 pp. Type: Book (978-1-484238-01-1), Reviews: (2 of 2)

I could start this review by trying to define as accurately as possible the book’s audience. Is it for Python programmers eager to apply their knowledge to personal finance applications? Or is it for people involved, one way or another, in t...

Sep 27 2019
  Managing cyber risk in the financial sector: lessons from Asia, Europe and the USA
Taplin R.,  Routledge, New York, NY, 2017. 194 pp. Type: Book (978-1-138477-17-9)

I would classify this book as a buffet of articles, studies, research, and references spanning the spectrum of cyber risk domains across various economies around the world. Just like a buffet, there is a lot of very valuable information packed in ...

Jun 7 2019
  Mobile payment systems: secure network architectures and protocols
Téllez J., Zeadally S.,  Springer International Publishing, New York, NY, 2017. 133 pp. Type: Book (978-3-319230-32-0)

These days, if you go shopping in any of China’s major cities, one thing that you will probably not see is people making purchases using cash, or for that matter credit cards. Whether buying a TV, a burger, or groceries, the majority of reta...

Feb 12 2019
  Personal finance with Python: using pandas, Requests, and Recurrent
Humber M.,  Apress, New York, NY, 2018. 117 pp. Type: Book (978-1-484238-01-1), Reviews: (1 of 2)

I have probably said this way too many times in reviews, but it remains true and to the point: one of the great things about learning Python programming is that it allows you to move more easily into other areas that you might want to learn about....

Jan 31 2019
  Fintech: AI powers financial services to improve people’s lives
Qi Y., Xiao J.  Communications of the ACM 61(11): 65-69, 2018. Type: Article

This survey article describes the financial technology (fintech) efforts of two Chinese companies. One company is Ant Financial, an affiliate of Alibaba. Two pertinent examples show payment technologies supporting small businesses in isolated loca...

Dec 27 2018
  A novel stock recommendation system using Guba sentiment analysis
Sun Y., Fang M., Wang X.  Personal and Ubiquitous Computing 22(3): 575-587, 2018. Type: Article

It’s pretty obvious that if you know what investors are thinking, you can predict what stocks they’ll buy and sell. Stock scams have operated for years on the complement of this thought, that is, attempt to change investors’ opin...

Sep 5 2018
  Credit scoring and its applications (2nd ed.)
Thomas L., Crook J., Edelman D.,  SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. 387 pp. Type: Book (978-1-611974-55-3)

Anyone involved in credit scoring, from financial professionals to advanced students in mathematics and business, should own this treatise. Heavily mathematical in its approach, it addresses the practical mechanics of contemporary credit analysis ...

Jun 21 2018
  Python for finance (2nd ed.)
Yan Y.,  Packt Publishing, Birmingham, UK, 2017. 586 pp. Type: Book (978-1-787125-69-8)

Python has been hot for years and it’s a good tool for financial analysis. This book covers the topic of finance using Python....

May 2 2018
  Invest like a guru: how to generate higher returns at reduced risk with value investing
Tian C.,  Wiley Publishing, Hoboken, NJ, 2017. 224 pp. Type: Book (978-1-119362-36-4)

Delivery of business-oriented software and its support has evolved radically over the last 30 years, from licensed mainframe packages with paid consultants, to time-shared program suites with telephone help lines, to personal computer applications...

Feb 22 2018
 
 
 
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