FINance & TECHnology Robo-technology and Goal Based Investing lead banking innovation
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PRMIA event in Sydney, 26th May - hosted by Macquarie Bank FINance & TECHnology Robo-technology and Goal Based Investing lead banking innovation Paolo Sironi IBM Risk Analytics Leader Wealth Management Risk Analytics and Thought Leadership
Agenda u Digital robo-trends v Are robots truly disruptive or not? w What’s in the future of advisors? x Goal Based Investing © 2015 IBM Corporation
Winners and Laggards U/HNW 7% annual growth By The World Wealth Report from Capgemini and RBC Wealth Management 2013. w strong service/brand competition, blurred line between on/off shore, Asia, execution quality MASS/ 43% global wealth is underserved By Crédit Suisse Research Institute, Global Wealth Databook 2012. AFFLUENT w better engagement means workflow changes, cultural/knowledge gap, digital agenda, obsolete/silos infrastructure, retirement plans RETAIL +100% AUM robo-advisors (2014) By Aite Group, 2015. w size matters (tighter margins), digital agenda, automatisation, millennials, retirement plans © 2015 IBM Corporation 3
Industry leitmotif regulation ADDED PERSO VALUE NALISA SERVICE TION to of w differentiate w engage w invest. experience w model portfolios w compete w attract w invest. goals w financial news w comply w enforce action w invest. horizons w scenario analysis w cross the fence w establish brand w product selection w financial alerts w remunerate w personalise w re-balancing freq. w digital access digitalisation / FinTechs © 2015 IBM Corporation 4
Robo-advisors can be a disruptive global trend The display order doesn't represent establishment date, quality nor business dimension 2040 transformed 2030 2020 GBI 2015 robo-4-advisors robo-advisors matured 2014 +100% AUM AUM 2013 noticed 0.01% 2012 venture capital research 2011 conferences 2010 © 2015 IBM Corporation 5
FINancial TECHnology Some examples not exhaustive of industry reality FinTechs focus on the digitalisation of the financial system: PRIVATE EQUITY S ROBO-ADVISORS PAYMENTS $ ! 4 BIG DATA LENDING robo-advisors MC h PROFILE ADVISE RE-BALANCE INDEXING © 2015 IBM Corporation 6
Disruptive and Sustaining Innovation Theory of innovation w sustaining innovation Goal higher margins and more performance Based Investing demanding customers once products gain foothold, improvement cycle restarts u improvement rate + innovation a client can absorb and a variability around time v disruptive innovation introduces simplified and less expensive products/services, to appeal to new or less-demanding customers © 2015 IBM Corporation 8
Who feels threatened? Not only humans Mutual Funds Active managers Platforms Custodians Human Advisors Index ETF … not so active … h Indexing 2.0 ( Indexing 3.0 Robo-advisors JRobo-4-advisors w algorithms w pers. smart-beta w Millennials w All-In-1 vertically w zero trans. costs w rule based algo w Baby Boomers. integrated platforms w tax harvesting w cyborgs Advisors will focus on gamma (adding Only true active managers will be able to value in financial planning) rather alpha differentiate. (investment management). © 2015 IBM Corporation 9
Digital business models are blurring the verticals w Omni-Channel w Personalised info w Peer analysis w Social media w Timely alerts FinTech Self-Directed Advised Retail Mass / Affluent HNW / UHNW robo-advisor w Guided re-balancing w Retirement planning w Long-term investing Mild w Added-value reporting Medium w Prob. Scenario Opt. Strong © 2015 IBM Corporation 1
From disruption to sustained growth Goal Based Investing ROBO-4-ADVISORS ROBO-ADVISORS Digital J isation © 2015 IBM Corporation 1
What is GBI © 2015 IBM Corporation 1
Guiding advisors to build client centric portfolios Achieving one’s goals requires a good balance between ambitions, risks and understanding of liquidity and investment horizon. For how long shall I keep invested? time How much risk am I What is my willing to bear? risk ambition investment goal? What is the probability of achieving / missing my goal? © 2015 IBM Corporation 1
What’s new in WM? Goal Based Investing Retirement plans by Nobel Price Robert C. GBI optimisation by EDHEC Merton: The Crisis in RiskInstitute and Retirement Planning (HBR, Merril Lynch 2014). (2015) “The customer needs worry about three things only: her retirement income goals, how “Merril Lynch goals- much she is prepared to contribute from her current income, and how long she plans to based accounts to reach work.The only feedback she US$ 200 billion needs from her plan provider is milestone.” her probability of achieving InvestmentNews her income goals.” (Nov. 2014) GBI practice GBI optimisation by Jean Brunel (2015) by Paolo Sironi (2015) “New approach to Maximise the wealth management that probability of allows individuals to reaching investment take on a more active goals over time, while role in the allocation of complying with a risk their assets” threshold. © 2015 IBM Corporation 1
Intuitive risk based dialogue between advisors and investors 151 Expected Short Fall Probability of -18% Tracking Error … achieving a goal Expected Return … losing money 31.000.000 Value at Risk … earning less than … 3.2549% Sharpe Ratio 40% 60% 32.50% 20% 80% Volatility 0% 100% Variance Probability © 2015 IBM Corporation 1 6
Make probability of reaching goals your investment criteria Modern Portfolio Theory Goal Based Investing Equity JP Equity EU Cash 40% 60% Treasury goal A US Exp. Return 4.5% pa 20% 80% Volatility 20% pa 0% 100% Treasury EU Probability Equity US Equity JP Equity EU Cash 40% 60% Treasury goal 20% 80% B US Exp. Return 5.5% pa Treasury 0% 100% EU Volatility 30% pa Probability Equity US © 2015 IBM Corporation 1 7
Monitoring portfolios and goals over time Graphical representation of past performance and future performance (Mark-to-Future). 1
Paolo Sironi Leader Wealth Management Risk Analytics and Thought Leadership paolo.sironi@de.ibm.com de.linkedin.com/in/paolosironipso @thepsironi www.amazon.com/Paolo-Sironi/e/B00TLMSSA2 www.riskbooks.com/modern-portfolio-management- from-markowitz-to-probabilistic-scenario-optimisation Thank you 1
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