10/24/17 - AC Investment Inc. | Credit Ratings Analysis-AI Research

Collaborative Machine Learning Without Centralized Trading Data

The past few years have seen rapid advances in machine learning, with new technologies achieving dramatic improvements in technical performance. But we can go beyond optimizing objective functions. By building AI systems with users in mind from the ground up, we open up entire new areas of finance.AI Forecast is devoted to advancing the research and design of people-centric AI systems. We're interested in the full spectrum of human trading interaction with machine intelligence, from supporting engineers to understanding everyday trading experiences with AI.

In the context of stock price realization, a game is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals.

A new paradigm for learning

In our experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making. We postulate the use of design capability indices to facilitate the teams making a ranged set of decisions, instead of specific ones.

Modern machine learning models are highly flexible but lack transparency. Can we devise methods to explain the predictions of such models, without restricting their expressiveness? Can we do so even if we don't know anything about their architecture, i.e., if they are "black-boxes"? In this project, we are developing methods for explaining the predictions made rather than constraining the models themselves to be interpretable. We are particularly interested in providing explanations for the predictions of complex machine learning models that operate on structured data, such as sentences, trees or graphs. For example, we use statistical input-output analysis to learn to interpret predictions of sequence-to-sequence models, such as those used in machine translation and dialogue systems.

Our goal is to do fundamental research, invent new technology, and create frameworks for forecast in order to drive a human-centered approach to artificial intelligence.

Why Choose AC Invest?

AC Investment Inc. offers a comprehensive selection of high-performing, low-cost mutual funds, designed to cover multiple asset classes, geographic areas and investment goals.We have 10 investment teams in 12 countries. Our clients can invest in funds run by the industry's leading portfolio managers, benefiting from their deep experience and expertise.

Equally as important, you should know how much time you have to devote to that goal. If you think you'll need your money in the near future, say within three years to five years, then a mutual fund may not be the best option. That's because the return in that amount of time, minus the fees, may not be enough to make the investment worth it.

Determine how comfortable you are with risk—and invest accordingly. Understanding your own risk profile can help you select funds with strategies and asset allocations that fit your goals.

AI Forecast is devoted to advancing the research and design of people-centric AI systems. We're interested in the full spectrum of human trading interaction with machine intelligence, from supporting engineers to understanding everyday trading experiences with AI.