Berkeley College - Information Science
Journal of Financial Planning
Member of the editorial review board
Asset Protection
Computer Science
Matlab
C++
Artificial Intelligence
Financial Services
Estate Planning
Java
VBA
Software Development
C#
Algorithms
Income Tax
C
Higher Education
Financial Planning
Programming
Risk Management
Tax Preparation
Data Mining
Tactical asset allocation: An artificial neural network based model
Tactical asset allocation: An artificial neural network based model
Online Collaborative Notes-Taking System
Empirical Lessons from Failure of ERP Systems in Small and Medium Businesses
Informatics: Proposing a New Information Technology Discipline for Financial Planning
High Performance Artificial Neural Networks: A Computational Finance Application
Parallelization of Artificial Neural Network Training Algorithms: A Financial Forecasting Application
Information Technology Update for the Financial Planning Profession
Factors determining attitudes toward the use of technology to plan for retirement: an empirical analysis
Tactical asset allocation with artificial neural networks
A preliminary survey of US Tax court cases indicates that the majority of tax court decisions involving the participation of financial planners deal with negligence. This paper presents the findings of a mixed qualitative/quantitative descriptive research study. The study reviewed and analyzed 114 US Tax Court Cases involving financial planners between 1970 and 2013. The conclusions suggest specific sections of the US tax code with which financial planners need to focus on in order to avoid exposure and provide sound tax advice. These code sections deal primarily with negligence. The analysis also shows 21% of the time the financial planner acts as a plaintiff. The results of this study will help financial planners identify those areas of the federal tax law they need to understand in order to minimize liability for themselves and their clients.
Financial Planner’s Participation in US Tax Court Decisions
Applications of artificial neural networks to reduce investment portfolio volatility
C Augusto
Casas
PhD
CFP®
Financial Planning University LLC
Berkeley College
iFIT2 LTD
iTax Financial Services Corp.
University of Connecticut
St Thomas Aquinas College
Professor of computer science and computer programming. Research focus on computational finance
financial planning informatics
and legal informatics.
University of Connecticut
Senior Advisor
Greater New York City Area
iTax Financial Services Corp.
iFIT2 LTD
New York
At iFIT2 we help clients capitalize on the latest technologies to manage and control their budgets
investments
insurance and taxes.\n\nWe install user friendly software in our clients' computers which help them take control of their financial life. Our services allow our clients to develop a plan to cut their expenditures
save more
optimize their investments
minimize their taxes and achieve their financial goals.\n\nOur services include:\n\nPersonal cash flow analysis\nInsurance planning\nTax planning\nInvestment allocation\nTax return preparation\nWill & Trusts\nEstate Planning\n\nWe are a fee-only service firm. We find the best no-load investment and insurance products that meet our clients' unique needs.
Founder and Director
As Chief Financial Planner I become the CFO (Chief Financial Officer) of my clients. This involves the management of budgets
short-term cash investments
cash distributions
pension planning
income tax planning
and wealth maximization.\n\nI serve businesses with up to 100+ employees
trusts
estates
individuals
and families.
Chief Financial Planner
Greater New York City Area
iFIT2 LTD
Financial Planning University LLC
Professor
Information Technology Management
Full-time professor at the Larry L Luing School of Business. Leading faculty of the Information Technology Management program and professor of:\n\nIT Management\nComputer Programming\nNetworks and Security\nDatabase Management Systems
Berkeley College
St Thomas Aquinas College
New York
Full-time tenured professor in the fields of computer science and information systems. \nResearch focus in financial planning and legal informatics
cyber ethics and computational finance.\nExamples of classes taught: Computer Programming with Java and Visual Basic
Cyber Ethics
Systems Analysis and Design
Software Engineering
Networks and Security and Database management Systems. \nExperience teaching and developing course content for delivery online and face-to-face.
Associate Professor
Association for Computing Machinery
Computer Society
Spanish
English
Nova Southeastern University
PhD
Research Field: Computational Finance
Information Systems
Pontificia Universidad Javeriana
BSEE
Electrical Engineering
Tuna Javeriana
IEEE Student Chapter
The University of Connecticut School of Business
MBA
Finance
React: Ecosystems
Enrolled Agent
Internal Revenue Service
Python Data Structures: Stacks
Queues
and Deques
Learning React.js
Learning React Native
PH125.1x: Data Science: R Basics
5e1ae4b413734c38964ade1750171eb0
HarvardX - An Online Learning Initiative by Harvard University through edX
Certified Financial Planner ®
CFP Board