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Launched as AC Investment in 2017, AC Investment is the venture capital arm of AC ADV Inc. A/C has $112 million under management with 42 investments. AC Invest and Swedbank increases cooperation around venture capital funds. A/C is headquartered in (Saint Helier) Jersey, with offices in San Francisco, Boston, New York, Cambridge and London.

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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.

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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.

Explore
So the big question is: What is the 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.

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CENTENNIAL (S&P Global Ratings) Feb. 6, 2019--S&P Global Ratings assigned its  'AA+' long-term rating to Las Vegas Valley Water District, Nev.'s series 2019A  limited-tax general obligation (GO) water refunding bonds (estimated par  amount: $113.8 million). In addition, S&P Global Ratings affirmed its 'AA+'  long-term rating on the district's outstanding limited-tax GO water revenue  bonds, as well as its 'AA+' issuer credit rating on the district. Moreover,  S&P Global Ratings affirmed its 'AA+' rating on the district's outstanding  parity obligations additionally secured by the net revenues of the district,  and parity debt additionally secured by pledged revenues of Southern Nevada  Water Authority. Finally, S&P Global Ratings affirmed its 'A-1+' short-term  rating on the district's limited-tax GO commercial paper notes. The outlook on  all ratings is stable.  "The 'AA+' ratings reflect our view of the district's role as a critical  service provider in the greater southern Nevada region, along with a strong  overall financial profile," said S&P Global Ratings credit analyst Michael  Parker.  Strong revenue growth and the district's willingness and ability to raise  water rates continue to support debt service coverage. Although the district  has never imposed a property tax to pay for debt service, the large size of  the tax base and strong assessed value growth in recent years provide  additional credit stability. Despite the district's sizable capital plans in  the next 10 years, we believe strong management policies and practices will  continue to support good coverage levels and a robust liquidity position.  The stable outlook reflects our view of the strength of the local and regional  economy within the Las Vegas-Henderson-Paradise metropolitan statistical area,  supported by our expectation that the property tax will continue to grow. The  stable outlook also reflects the district's stable population and customer  base and strong liquidity and reserves. Furthermore, the outlook reflects our  expectation that the district will maintain its strong financial position and  at least good all-in coverage, despite significant capital needs in the near  term. We do not expect to change the ratings over the next two years.  Although not expected, we could raise the ratings if the district's all-in  coverage levels significantly improve in a manner that we believe would be  sustainable.  Should district revenue collections deteriorate or near-term debt issuances  weaken coverage to levels no longer in line with those of similarly rated  peers, we could lower the ratings.  The series 2019A bond proceeds are being used to refund the district's 2009A  and 2009D GO water bonds outstanding. Upon issuance of the series 2019A bonds,  the district will have approximately $2.74 billion in direct debt outstanding.

CENTENNIAL (S&P Global Ratings) Feb. 6, 2019--S&P Global Ratings assigned its 'AA+' long-term rating to Las Vegas Valley Water District, Nev.'s series 2019A limited-tax general obligation (GO) water refunding bonds (estimated par amount: $113.8 million). In addition, S&P Global Ratings affirmed its 'AA+' long-term rating on the district's outstanding limited-tax GO water revenue bonds, as well as its 'AA+' issuer credit rating on the district. Moreover, S&P Global Ratings affirmed its 'AA+' rating on the district's outstanding parity obligations additionally secured by the net revenues of the district, and parity debt additionally secured by pledged revenues of Southern Nevada Water Authority. Finally, S&P Global Ratings affirmed its 'A-1+' short-term rating on the district's limited-tax GO commercial paper notes. The outlook on all ratings is stable. "The 'AA+' ratings reflect our view of the district's role as a critical service provider in the greater southern Nevada region, along with a strong overall financial profile," said S&P Global Ratings credit analyst Michael Parker. Strong revenue growth and the district's willingness and ability to raise water rates continue to support debt service coverage. Although the district has never imposed a property tax to pay for debt service, the large size of the tax base and strong assessed value growth in recent years provide additional credit stability. Despite the district's sizable capital plans in the next 10 years, we believe strong management policies and practices will continue to support good coverage levels and a robust liquidity position. The stable outlook reflects our view of the strength of the local and regional economy within the Las Vegas-Henderson-Paradise metropolitan statistical area, supported by our expectation that the property tax will continue to grow. The stable outlook also reflects the district's stable population and customer base and strong liquidity and reserves. Furthermore, the outlook reflects our expectation that the district will maintain its strong financial position and at least good all-in coverage, despite significant capital needs in the near term. We do not expect to change the ratings over the next two years. Although not expected, we could raise the ratings if the district's all-in coverage levels significantly improve in a manner that we believe would be sustainable. Should district revenue collections deteriorate or near-term debt issuances weaken coverage to levels no longer in line with those of similarly rated peers, we could lower the ratings. The series 2019A bond proceeds are being used to refund the district's 2009A and 2009D GO water bonds outstanding. Upon issuance of the series 2019A bonds, the district will have approximately $2.74 billion in direct debt outstanding.

















We work across the world

From London to San Francisco, to our home base in (Saint Helier) Jersey, we’re looking for extraordinary and creative scientists to help us drive the field forward.

AC Investment Inc. currently does not act as an equities executing broker or route orders containing equities securities. If AC Invest’s business model were to change and it begins routing non-directed orders in NMS securities, it will comply with the disclosure requirement of Rule 606.

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