Past DAP 2019

DAP 2019 Problem Statements

Regulatory
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Problem Statement
How might we use technology in a cost competitive manner so that we can better predict, monitor and manage an Asset Management Company’s internal and external obligations to regulatory changes globally?How might we obtain real-time, customizable updates and analysis on new and revised compliance, regulatory and tax requirements globally?
Risk & Performance
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Problem Statement 1
How could we use technology to monitor, predict and understand drivers of risk and performance so that we can proactively manage in a rapidly changing market?
Context
Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors.
Terms
ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies
Problem Statement 2
How might we leverage evolved data models, analytics and reporting methodologies to deliver ETF / ESG / Smart Factor strategies?
Context
Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors
Terms
ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies
Problem Statement 3
How could we leverage technology to integrate various exposures to solve operational issues (such as handling multiple platforms) and measure counterparty risk accurately?
Context
Currently, collateral management arising from OTC derivatives tend to sit on multiple platforms. OTC: Over-the-counter (OTC) derivatives are contracts that are traded (and privately negotiated) directly globally? How two parties, without going through an exchange or other intermediary.
Investment/Data
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Problem Statement 1
How might we use collect and capture data electronically and use it as a proxy for economic growth such as sales, inflation and shipping activity?

How could we leverage data from satellite analysis to provide a measure of economic activity (with a focus on emerging countries and Asia) and actionable insights?

How could alternative data (e.g. credit card transactions, hotel/airline billing, digital identity) be used to measure sector performance (e.g. tourism, retail spending)?
Context
Official economic data statistics (especially in emerging countries) may be of poor quality and published late. We use this information in relation to investment decisions.
Problem Statement 2
How might we:
  • better source, collect and store data
  • validate data sources faster and smarter
  • aggregate data from different repositories of publicly available information & government agencies (e.g. supply economic and statistical data from emerging markets).
Context
The current practice of information / data gathering is not comprehensive-, smart or intelligent-, or cheap and accessible-enough, which could be due to data owners’ practices.
Problem Statement 3
How could Investment Managers apply AI and Machine Learning to optimize models and to use data to enhance investment decisions and returns?
Context
Rule-based algorithms may be too simplistic, error prone and cannot learn and adapt to market changes.
Cybersecurity
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Problem Statement
Given the widespread usage of masking and hacking tools, how might we detect, identify and predict cybercrime (financial or non-financial)?
Customer
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Problem Statement 1
How could we use technology to optimise the Client Experience and become more effective (e.g. AML processes during client onboarding, refreshers, annual reviews, cross sell and upsell)?
Problem Statement 2
How might we use technology, alternative sources of data and analytics to understand end investors better so that we could design solutions to that will be more suitable and attractive to them?
Context
Investment managers do not have access to end investors directly and associated data and thus have to react to intermediaries’ demand for product or insights which are rarely shared
Problem Statement 3
How might we use technology to distribute our products directly to underserved / unserved end investors and ultimately grow the pool of ready investors across Singapore?
Problem Statement 4
How could we leverage technology to create a cost-effective solution for mass customised client reporting and insights?
Context
There are many different types of reports required by clients across different touch points and relationship models. Reports are often heavily customised & manual and they are specific to the client type (Institutional, Intermediary or even end investors)
Cost & Efficiency
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Problem Statement
How could we use technology to automate, digitize in-house processes to reduce costs, simplify practices and transform experiences for both clients and employees?
Context
Investment managers interact with a number of service providers to execute an order.
Education & Learning
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Problem Statement
How might we provide an engaging and user-friendly education experience for the Investment Management industry, and drive self-learning to create a workforce of the future?
IMAS Secretariat
One Phillip Street
Royal One Phillip #10-02
Singapore 048692
Tel: +65 6223 9353
Fax: +65 6223 9352