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2,329 full-text articles. Page 10 of 32.

Remarks By William E. Flaherty To The Annual Marketing Conference, William E. Flaherty 2021 University of North Florida

Remarks By William E. Flaherty To The Annual Marketing Conference, William E. Flaherty

Florida Blue Archives Printed Materials

No abstract provided.


Booklet: Bluecross Blueshield Association The Uninsured In America, Blue Cross and Blue Shield Association 2021 University of North Florida

Booklet: Bluecross Blueshield Association The Uninsured In America, Blue Cross And Blue Shield Association

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: Health Education Resource Guide, Blue Cross and Blue Shield of Florida, Inc. 2021 University of North Florida

Brochure: Health Education Resource Guide, Blue Cross And Blue Shield Of Florida, Inc.

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: Better You From Blue: Healthy Choices On The Go Restaurant Guide, Blue Cross and Blue Shield of Florida, Inc. 2021 University of North Florida

Brochure: Better You From Blue: Healthy Choices On The Go Restaurant Guide, Blue Cross And Blue Shield Of Florida, Inc.

Florida Blue Archives Printed Materials

No abstract provided.


Revman: Revenue-Aware Multi-Task Online Insurance Recommendation, Yu LI, Yi ZHANG, Lu GAN, Gengwei HONG, Zimu ZHOU, Qiang LI 2021 Jilin University

Revman: Revenue-Aware Multi-Task Online Insurance Recommendation, Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li

Research Collection School Of Computing and Information Systems

Online insurance is a new type of e-commerce with exponential growth. An effective recommendation model that maximizes the total revenue of insurance products listed in multiple customized sales scenarios is crucial for the success of online insurance business. Prior recommendation models are ineffective because they fail to characterize the complex relatedness of insurance products in multiple sales scenarios and maximize the overall conversion rate rather than the total revenue. Even worse, it is impractical to collect training data online for total revenue maximization due to the business logic of online insurance. We propose RevMan, a Revenue-aware Multi-task Network for online …


The Impact Of The Capital Market, The Insurance Sector And The Mortgage Finance Sector On Economic Growth In Egypt, 2005-2019, Hana Anis 2021 American University in Cairo

The Impact Of The Capital Market, The Insurance Sector And The Mortgage Finance Sector On Economic Growth In Egypt, 2005-2019, Hana Anis

Theses and Dissertations

This thesis aims to explore the relationship between financial markets and economic growth in Egypt for the 15 years period, starting from 2005 to 2019. The study concentrates on the non-banking financial sector which includes the stock market, the debt market, the mortgage and the insurance sectors. The Vector Autoregressive (VAR) model is utilized to describe the relationship between GDP growth rate, as a proxy for economic growth, and a number of variables from the financial sector. Results of the analysis show that there is a significant relationship and statistical causality between the growth rate and the debt market, represented …


Report: Florida Blue Foundation The Impact Program: A Comprehensive Evaluation Report 2007-2013, Florida Blue Foundation 2021 University of North Florida

Report: Florida Blue Foundation The Impact Program: A Comprehensive Evaluation Report 2007-2013, Florida Blue Foundation

Florida Blue Archives Printed Materials

No abstract provided.


Florida Blue Foundation 2018-2019 Corporate Social Responsibility Report, Florida Blue Foundation 2021 University of North Florida

Florida Blue Foundation 2018-2019 Corporate Social Responsibility Report, Florida Blue Foundation

Florida Blue Archives Printed Materials

No abstract provided.


Handout: Florida Blue Foundation “Embrace A Healthy Florida—Addressing Causes And Prevention Of Childhood Obesity”, Florida Blue Foundation 2021 University of North Florida

Handout: Florida Blue Foundation “Embrace A Healthy Florida—Addressing Causes And Prevention Of Childhood Obesity”, Florida Blue Foundation

Florida Blue Archives Printed Materials

No abstract provided.


Booklet: Now We Know: All About Our Heath 2010-2011, Parent Power Family Literacy Academy 2021 University of North Florida

Booklet: Now We Know: All About Our Heath 2010-2011, Parent Power Family Literacy Academy

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: The Blue Foundation For A Healthy Florida: Embrace A Healthy Florida 2008-2010, The Blue Foundation for a Healthy Florida 2021 University of North Florida

Brochure: The Blue Foundation For A Healthy Florida: Embrace A Healthy Florida 2008-2010, The Blue Foundation For A Healthy Florida

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: Embrace A Healthy Florida: Addressing Childhood Obesity, The Blue Foundation for a Healthy Florida 2021 University of North Florida

Brochure: Embrace A Healthy Florida: Addressing Childhood Obesity, The Blue Foundation For A Healthy Florida

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: Embrace Healthy Eating. Embrace Active Living. Embrace A Healthy Florida, The Blue Foundation for a Healthy Florida 2021 University of North Florida

Brochure: Embrace Healthy Eating. Embrace Active Living. Embrace A Healthy Florida, The Blue Foundation For A Healthy Florida

Florida Blue Archives Printed Materials

No abstract provided.


Using Decision Trees To Classify Factors That Predict Health Insurance Status Among Sexual Minority Women, Kayla Simon 2021 University of Arkansas, Fayetteville

Using Decision Trees To Classify Factors That Predict Health Insurance Status Among Sexual Minority Women, Kayla Simon

2021 Honors Symposium

Background
• Social determinants of health (SODH) are factors that influence an individual's health status.
• SODH inequalities often negatively impact health status.
• LGBTQ+ individuals are more likely than their heterosexual counterparts to be unemployed and uninsured in early adulthood (Charlton, Gordon, Reisner, 2018).

Purpose
The purpose of this project is to build a machine learning model that predicts insurance status based on social determinants of health selected as input variables


The Effect Of Covid-19 On The Human Capital Management In Start-Ups In Egypt, Fayrouz El Dabbagh, Mariam Walid, Shorouk Fouda, Shahjahan Bhuiyan 2021 The American University in Cairo (AUC)

The Effect Of Covid-19 On The Human Capital Management In Start-Ups In Egypt, Fayrouz El Dabbagh, Mariam Walid, Shorouk Fouda, Shahjahan Bhuiyan

Papers, Posters, and Presentations

Start-ups are institutionally fragile companies that deal with high degrees of risk and uncertainty, especially during short-term shocks, such as COVID-19. This policy brief attempts to identify the needed development in the start-up supporting ecosystem under COVID-19 pandemic, with a special focus on human capital management (HCM), decent work, and labor resilience in start-ups in Egypt. The core question of the paper is: How did COVID-19 pandemic affect the HCM practices in Egyptian start-ups and what is needed for start-ups in Egypt to recover from the crisis and sustain decent jobs and labor resilience?


Cryptocurrency Trading With Ensemble Machine Learning Algorithm, Siwat Assavakijphanich 2021 Faculty of Commerce and Accountancy

Cryptocurrency Trading With Ensemble Machine Learning Algorithm, Siwat Assavakijphanich

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this project, we aimed to use ensemble machine learning algorithms to trade ten cryptocurrencies along with attempting to add more external factors. Cryptocurrency included in this project were Cardano (ADA), Binance Coin (BNB), Bitcoin (BTC), DOGE, DOT, Ethereum (ETH), LINK, Polygon (MATIC), Uniswap (UNI), and Ripple (XRP). Furthermore, ten external factors, which are ten major stock indices, were added to the algorithm. All machine learning algorithms in this project are used to trade for four trading circumstacnes, an 1-hour interval, six-hour interval, daily interval and weekly interval. There are six machine learning models in this project which will be …


การประเมินความเสี่ยงของกลุ่มหลักทรัพย์ลงทุนโดยใช้ทฤษฎีค่าสุดขีดหลายตัวแปร, ธนัสภรณ์ ธนสิริธนากร 2021 คณะพาณิชยศาสตร์และการบัญชี

การประเมินความเสี่ยงของกลุ่มหลักทรัพย์ลงทุนโดยใช้ทฤษฎีค่าสุดขีดหลายตัวแปร, ธนัสภรณ์ ธนสิริธนากร

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อประเมินความเสี่ยงของสินทรัพย์และกลุ่มหลักทรัพย์ลงทุนในเหตุการณ์วิกฤติเศรษฐกิจ โดยใช้ทฤษฎีค่าสุดขีดตามการแจกแจงพาเรโตนัยทั่วไปในรูปแบบตัวแปรเดียว เพื่อประเมินมูลค่าความเสี่ยงและค่าเฉลี่ยความเสียหายส่วนเกินของแต่ละสินทรัพย์ลงทุน งานวิจัยนี้ยังวิเคราะห์ความเสี่ยงของกลุ่มหลักทรัพย์ลงทุนที่ประกอบด้วยสินทรัพย์ประเภทเดียว และกลุ่มหลักทรัพย์ลงทุนที่ประกอบด้วยสินทรัพย์มากกว่าหนึ่งประเภท จนกระทั่งขยายไปเป็นรูปแบบหลายตัวแปร โดยใช้ตัวแบบ Orthogonal GARCH ในการประมาณค่ามูลค่าความเสี่ยงและค่าเฉลี่ยความเสียหายส่วนเกินของกลุ่มหลักทรัพย์ลงทุน งานวิจัยนี้ได้เปรียบเทียบระดับความเสี่ยงของสินทรัพย์และกลุ่มหลักทรัพย์ลงทุนแต่ละรูปแบบ รวมทั้งได้ทดสอบความแม่นยำของตัวแบบโดยการทดสอบย้อนกลับ ผลการวิจัยพบว่า อัตราผลตอบแทนรายวันของสินทรัพย์มีการแจกแจงพาเรโตนัยทั่วไป และตัวแบบที่นำเสนอในงานวิจัยนี้มีความเหมาะสมในการนำมาประเมินความแปรปรวนร่วมแบบมีเงื่อนไขของกลุ่มหลักทรัพย์ลงทุนทั้งหมด นอกจากนั้น ผลการวิจัยชี้ให้เห็นว่าการกระจายความเสี่ยงด้วยการสร้างกลุ่มหลักทรัพย์ลงทุนจะช่วยลดระดับความเสี่ยงที่จะเกิดการขาดทุนจากการลงทุนได้ และจากการทดสอบความน่าเชื่อถือของตัวแบบด้วยการทดสอบย้อนกลับ พบว่า กระบวนการทฤษฎีค่าสุดขีดหลายตัวแปร สามารถทำนายมูลค่าความเสี่ยงของกลุ่มหลักทรัพย์ลงทุนได้อย่างแม่นยำ หรือสามารถชี้วัดระดับความเสี่ยงที่ได้อย่างมีประสิทธิภาพ และสามารถนำเอาตัวแบบในงานวิจัยนี้ไปประยุกต์ใช้ได้จริงในการประเมินความเสี่ยงของผลตอบแทนของแต่ละสินทรัพย์และกลุ่มหลักทรัพย์ลงทุน


Analisis Sengketa Koreksi Fiskal Pada Biayaresearch And Development (Studi Kasuspemeriksaan Pajak Pt.X Tahun 2014), Hadining Kusumastuti, Ari Warli Ruchiyat 2020 Program Studi Administrasi Perpajakan, Program Pendidikan Vokasi Universitas Indonesia

Analisis Sengketa Koreksi Fiskal Pada Biayaresearch And Development (Studi Kasuspemeriksaan Pajak Pt.X Tahun 2014), Hadining Kusumastuti, Ari Warli Ruchiyat

Jurnal Vokasi Indonesia

This paper discusses the Fiscal Correction Dispute Analysis on Research & Development Costs at the 2014 Tax Audit Year PT. X. In this case study discusses the different interpretations between taxpayers and Fiscus on the provisions governing the costs that can be charged to companies, causing tax disputes. The purpose of writing is to determine the background of the recognition of research and development costs at PT X. and its compliance with the provisions of tax regulations. The research method used is descriptive qualitative. The result of this case study is the assumption from the Fiscus regarding the recognition of …


Booklet: United Way Of Northeast Florida Strategic Plan, United Way of Northeast Florida 2020 University of North Florida

Booklet: United Way Of Northeast Florida Strategic Plan, United Way Of Northeast Florida

Florida Blue Archives Printed Materials

No abstract provided.


Brochure: Memories Of Love Foundation, Memories of Love Foundation 2020 University of North Florida

Brochure: Memories Of Love Foundation, Memories Of Love Foundation

Florida Blue Archives Printed Materials

No abstract provided.


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