Artificial Intelligence and Machine Learning (AI & ML) and Sentiment Analysis are said to “predict the future through analysing the past” – the Holy Grail of the finance sector. They can replicate cognitive decisions made by humans yet avoid the behavioural biases inherent in humans.
Processing news data and social media data and classifying (market) sentiment and how it impacts Financial Markets is a growing area of research. The field has recently progressed further with many new “alternative” data sources, such as email receipts, credit/debit card transactions, weather, geo-location, satellite data, Twitter, Micro-blogs and search engine results. AI & ML are gaining adoption in the financial services industry especially in the context of compliance, investment decisions and risk management.
This is a sophisticated conference that not only interrogates and explores the implications of AI & ML in the financial services industry but also goes on to identify the investment opportunities of sharing knowledge and exploiting IP in the finance domain.
This event is mainly focused on participants from SE-Asia and India. So, the Event time is set so that participants from India and China may attend in the PM 14:30 IST or 17:00 CST on the first 3 days, Wednesday, Thursday, Friday. On Saturday 26 September, the Event time is set so that participants from India and China may attend in the AM 09:30 IST or 12:00 CST.
Attend this event and earn GARP/CPD credit hours.
UNICOM has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 28 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.
Discounted attendance offer:
If you are a GARP Alumni, that is, an ERP or FRM certificate holder then avail yourself a 20% discount offer for the event registration fee. To know more about the offer contact us [email: info@unicom.uk; ankita.talit@unicom.uk]
We are inviting speakers – thought leaders, subject experts and start up entrepreneurs – to share their knowledge and enthusiasm about their work and their vision in the field of AI, Machine Learning, Sentiment Analysis.
Please complete the speaker’s response form and submit a proposal to present at this event.
UNICOM’s Code of Conduct & Views on Diversity
Our approach is that our events are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity or religion. We do not tolerate intimidation, stalking, harassing photography or recording, sustained disruption of sessions or events, and unwelcome physical contact or sexual attention. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, Twitter and other online media. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organisers. Please bring your concerns to the immediate attention of the event staff.
Diversity: In our endeavour to be the provider of knowledge to the business community, we understand that this depends on hearing from and listening to a variety of perspectives that come from people of all races, ethnicities, genders, ages, abilities, religions, sexual orientation, and military service. We welcome diverse speakers for all our events, we do not always fully achieve this goal, but it is an ongoing process.
Read more…
Introduction and Background to the Program
Innovations in Finance and harnessing of Technology have led to the inevitable combination, whereby, in the domain of finance Fintech has appeared as a portmanteau word. In the evolution of the BFSI sector Fintech today is established as well as disruptive of traditional order.
Fintech has disrupted all aspects of the finance industry—banking and capital markets, asset and wealth management, insurance, and funds transfer and payments. The lending and payments sector is anticipated to experience a high level of disruption with the emergence of online platforms such as peer-to-peer personal loans. The themes of this conference are about multiple aspects of Fintech.
There are three main themes for the day:-
THEME:
In the domain of South-East Asian finance, Chinese exchanges of the Shanghai, Shenzhen and Hong Kong Stock Markets are dominant by market capitalization. Also the Indian Stock Market as represented by the National Stock Exchange (NSE) is a leading member, by number of daily traded contracts.
Originally the ASIA-PAC Finance conferences were based in two metros, Mumbai and Shanghai respectively. In this online version of these two events we have fused them into one and have spread them over four days of four hour schedules; starting Wednesday 23 September and concluding Saturday 26 September (2020).
The Key Focus for each day is as follows:
Day1: Focuses entirely on speakers and participants who are interested in the Indian Stock Market; Talks and Panels are chosen to address the same.
Day2 & 3: Speakers from across the globe, discuss their products, services and experiences in respect of the South-East Asian Market as described above
Day4: Speakers and Panellists for day 4 focus entirely on the products, services, experiences and requirements of the Chinese Stock Market.
ABHILASH MISRA – CEO, NSE ACADEMY LTD.
‘The NSE Knowledge Hub’, is a unique Artificial Intelligence (AI) powered learning eco-system to assist the BFSI sector in enhancing skills for their employees and helping academic institutions in preparing future ready talent skilled for the financial services industry.
NSE Knowledge Hub aims to bring world class content closer to learners in a personalized and community learning environment. It allows aggregation, curation, creation and targeting of content which is both learner centric and learner driven. The learning platform is powered by content aggregated from many internal, external, and premium sources, and enhanced by collaborative knowledge sharing from users. With Artificial Intelligence (AI) and Machine Learning (MI) capabilities, the platform provides a comprehensive user-wise report with recommendation on learning opportunities towards skill gap or as a part of progression matrix.
Further, a Learning Experience Platform (LXP), an in-built application on NSE Knowledge Hub platform, functions as a curation and content aggregation layer between an organization’s internal digital learning assets, the vast amount of external content available on the Internet, and user generated content. Enterprises can upskill workforce and enhance employee performance through collaborative innovation. Learners can learn current skills and be future-ready through content/certifications that complements their academic curriculum.
NSE Knowledge Hub delivers a unique learning experience for users and enhanced levels of performance for organizations that produces dramatic business and economic impact and value.
RICHARD KANG, MANAGING DIRECTOR, SIGMA ANALYSIS & MANAGEMENT
Indian ETF space at least is capable to build a strong foundation based on the affinity to gold. However, India is also a big center of tech innovation so why should the Nasdaq 100 and stocks like Tesla and Amazon get all the attention. There should be more Indian tech sector ETFs to capture the domestic wealth management industry. This is close to my work with EMQQ (Emerging Market Internet & E-Commerce ETF). What Asia really needs is to create challengers to what the world believes to be today’s center. Bengaluru and Shenzhen are the future Silicon Valley. Shanghai and Mumbai are the future Wall Streets. There could be more in Jakarta and Lagos decades from now. As this happens, the ETF industry in Asia will explode even more than what we’ve seen in the past. History repeats itself in waves.
Nitin Murarka, Investment strategy at S.M.C GLOBAL SECURITIES
Nifty options trading in Intrdaay
INDRANEEL FUKE, FOUNDER, CEO, SIMPLEWORKS BUSINESS SOLUTIONS PTE LTD [ABSENT. 10 MIN SHORT BREAK]
Going beyond the hype of AI/ML, this session will cover practical use-cases of how AI/ML and Sentiment Analysis can contribute to the digital transformation journey of the BFSI sector. It covers 1) uses cases of facial recognition, OCR scanning, Liveness Detection, fake ID detection, etc from Vision AI perspective, 2) use cases of leveraging of Sentiment Analysis of customer interactions through multiple channels towards cross-sell and up-sell opportunities 3) Leveraging ML for predictions such as next action recommender, next best product to buy, identifying insurance customers at policy renewal risk, etc.
SUNDARA RAMALINGAM N, CLIENT DIRECTOR – GLOBAL SYSTEMS INTEGRATORS | NVIDIA GRAPHICS PVT LTD., INDIA
The talk will cover the latest technology developments in the field of Artificial Intelligence, with focus on Deep Learning for FSI. It will touch upon how Global FSI companies are adopting AI and Deep Learning for their existing workflows like Risk analytics, Targeted customer campaigns, Document processing, Customer Churn prediction etc.
All aspects of the AI computing ecosystem including Frameworks, advancements in Training & Deployment etc., will be covered during the talk.
GAUTAM MITRA, CEO, OPTIRISK SYSTEMS/VISITING PROFESSOR, UCL
SUMMARY: We describe 3 strategies involving Market Indices
ASHOK BANERJEE, DEPARTMENTAL HEAD OF FINANCE AND CONTROL, INDIAN INSTITUTE OF MANAGEMENT, CALCUTTA (IIMC), INDIA
Sundara Ramalingam
Gautam Mitra
Ashok Banerjee
TRADE TRON (5 MIN)
SIMPLE CRM (5 MIN)
MARKET PSYCH(5 MIN)
QUANTINSTI ( 5 MIN)
GARP (5 MIN)
CAIA (5 MIN)
IVAILO DIMOV, QUANT RESEARCH SOLUTIONS, CTO OFFICE, BLOOMBERG L.P.
Stories on the Bloomberg newsfeed are tagged with “topic codes” containing information about their origin, subject matter, or other characteristics. One might expect that sentiment analysis of news stories may be enhanced by taking into account these topic codes, but the sheer number of topic codes is an obstacle to doing so systematically.
In this talk, we present evidence that some groups of topic codes are indeed associated with stronger sentiment impact on stock prices than others, and discuss a method to condense the mass of topic codes by identifying and retrieving latent factors which may be interpreted as broad themes shared by groups of topic codes.
The sources of Alternative Data (Part 1)
DAN JOLDZIC, CEO AND QUANTITATIVE RESEARCHER, ALEXANDRIA TECHNOLOGY
♦ Technology borrowed from the domain of DNA identification
♦ Design to identify cause and effect in large datasets
♦ Analysis of immense quantity of genomic information
♦ This AI&ML base technology applied to financial analytics
SONAL KAPOOR, HEAD, CONSUMER LENDING BUSINESS, FLIPKART
Alternative data has come into the spotlight in financial services, and it presages a significant shift in credit availability for unbanked and underbanked consumers. There are about 70 million credit-invisible consumers in India who lack sufficient traditional credit data. Alternative data is the future of financial inclusion, enabling lenders to extend credit to consumers who have been credit-invisible using next-generation data sources to power both traditional and alternative credit models.
What is alternative data? It includes payment history for electricity, gas and telecom bills, rent payments, repayments to payday lenders, and information such as employment history and educational background. Although alternative data has proved to be valuable and insightful for making lending decisions, until recently, it has not been possible for it to play a meaningful role in credit scoring.
JACOB GELFAND, CFA, DIRECTOR OF QUANTITATIVE STRATEGY AND RESEARCH, INVESTMENT RISK MANAGEMENT, NORTHWESTERN MUTUAL AND KAMILLA KASYMOVA, DIRECTOR, QUANTITATIVE RESEARCH AND ANALYTICS, NORTHWESTERN MUTUAL
In Part 1 we introduce GDELT as a source of the big data that we use in the investment decision making at Northwestern Mutual. GDELT monitors the world’s broadcast, print, and web news from nearly every corner of every country in over 65 languages and identifies the people, locations, organizations, counts, themes, sources, emotions, quotes, images and events driving our global society every moment of every day.
We will discuss why local news monitoring is important for foreign investments, especially for investments in emerging markets.
Ishan Shah, Head for Content Development, QuantInsti
This workshop will demonstrate the cutting-edge natural language processing research in financial markets. This unique workshop will help you devise new trading strategies using Twitter, news sentiment data. Roadblocks and how to overcome them while working with unstructured data. And how long is the impact of the sentiments on the assets prices. You will learn to predict the market trend by quantifying market sentiments
ANTHONY LUCIANI, QUANTITATIVE RESEARCHER, MARKETPYSCH
In this talk Anthony Luciani describes how media analytics are providing new insights into the origins and topping process of asset price bubbles. Examples from price bubbles including the China Composite, cryptocurrencies, housing, and many others will be explored. Recent mathematical models of bubble price action will be augmented with sentiment analysis. Attendees will leave with new models for identifying and taking advantage of speculative manias and panics
MICHAEL ANG, QUANTITATIVE RESEARCHER AT BLOOMBERG LP
DAN DIBARTOLOMEO, President and Founder, Northfield Information Services
Summary:
-Using News and Sentiment for Better Bond Credit
-The Process for Corporate Debt
-How Investor Risks Respond to News
-The Relationship of News and Volatility
Exploitation of Alternative Data in Fund Management and Risk Control (Part 2)
DAN JOLDZIC, CEO AND QUANTITATIVE RESEARCHER, ALEXANDRIA TECHNOLOGY
Local source, native publishers may offer an information advantage compared to publications in English. Translation services have typically been sub-optimal for character-based languages, but machine learning allows for classification in the native form, which can lead to significant alpha in forward periods.
MARKET PSYCH (5 MIN)
GTCOM (10 MIN)
OPTIRISK (5 MIN)
TECHPLUS MEDIA (5 MIN)
PETER SCHWENDNER, PROFESSOR, ZHAW SCHOOL OF MANAGEMENT AND LAW
European sovereign bonds are especially sensitive to the political news flow. As there is no equivalent yet to US Treasuries on the EU level, the cross-sectional correlations show converging and diverging developments between core and periphery. We discuss both the long-term movements and the short-term sentiment in light of the Covid-19 crisis mitigation efforts.
JACOB GELFAND, CFA, DIRECTOR OF QUANTITATIVE STRATEGY AND RESEARCH, INVESTMENT RISK MANAGEMENT, NORTHWESTERN MUTUAL AND KAMILLA KASYMOVA, DIRECTOR, QUANTITATIVE RESEARCH AND ANALYTICS, NORTHWESTERN MUTUAL
In Part 2 we present the internally developed framework for ex-ante analysis of the foreign exchange rates based on the news sentiment in global and local media, the Global Economy and Markets Sentiment (GEMS) model. The predictive analytics from GEMS model are used to enhance the fundamental analysis to better assess risks and opportunities in the sovereign debt market. We will discuss use cases pertaining to selected Emerging Markets countries and spearhead the discussion about predictive qualities of the produced analytics.
RICHARD PETERSON, CEO, MARKETPSYCH
View Richard Peterson’s video
ALLEN YAN, CEO, GTCOM TECHNOLOGY CORPORATION (GTCOM-US)
Ravi Kashyap, Finance Professor, SP Jain School of Global Management
We consider similarities between the Wonderland that Alice stumbled into and the present Business-Landscape. We discuss the uncertainty around us and how it gives rise to unintended consequences. We venture into the world of economics and finance and confront some unintended consequences of technology taking over our lives.
We then zoom into two recent financial market events and consider the unintended outcomes surrounding those episodes. The topics for discussion are:
1. The Nature of Uncertainty
2. Microstructure under the Microscope
3. A Tale of Two Consequences: Japan TOPIX Index Tick Size Changes
4. Hong Kong Shanghai Connect / Hong Kong Beijing Disconnect
DR JOHN ELDER, FOUNDER, ELDER RESEARCH, INC.
The most widely used metric of investment performance is the Sharpe ratio, which measures risk-adjusted excess return. It allows one to identify an efficient frontier of alternatives along all risk levels. Yet, the Sharpe ratio really only reveals the quality of your returns and not the quality of your strategy. For instance, just buying and holding bonds — a brainless system — has had a Sharpe above 1.0 for some time. (What genius!)
I will describe how to measure the quality of market timing systems. This new metric evaluates a system’s information quality, taking into account not only return and volatility, but also the trend of the market being traded and the system’s exposure to the market. Most importantly, the new metric is a better predictor of which timing systems will succeed in the only place that matters: tomorrow.
ERNIE CHAN, Founder, PredictNow.ai Inc
Most machine learners new to finance think that they should use the machine to predict how the market moves. This is actually a very hard problem due to ‘reflexivity’, We will describe a real success story of applying machine learning to trading.
RICHARD KANG, MANAGING DIRECTOR, SIGMA ANALYSIS & MANAGEMENT
Can you build a good team in today’s pandemic environment? Can you work well remotely? Can you access needed resources and your investors/customers efficiently?
If :ovid-19 has done anything, it has caused an incredible catalyst for business opportunities. Great for Zoom and anything to support Work-From-Home. But what else?
START-UPS; IF NOT IN INDIA, WHERE?: For India, population is not the problem. There are other problems usually revolving around access and infrastructure. So the question is: Where can you go for more customers? Your industry research and consideration of VAM, SAM and final target market might be broader than you think.
TORRES GAO, MANAGER, YAZI TECHNOLOGY (15 MIN TALK) & LIAN HUA ZHANG, DIRECTOR, BANK OF CHINA SECURITIES INTERNATIONAL (15 MIN TALK)
Equity and derivative markets are challenging in short term, but revolution is the main idea.
PredictNow.ai (5 MIN)
OPTIRISK (5 MIN)
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