Portfolio Management & Financial Counsel
Annual Investor Presentation November 2017 NE NEXU XUS S UP - - PowerPoint PPT Presentation
Annual Investor Presentation November 2017 NE NEXU XUS S UP - - PowerPoint PPT Presentation
Portfolio Management & Financial Counsel Annual Investor Presentation November 2017 NE NEXU XUS S UP UPDATE ATE Portfolio Management & Financial Counsel Team am Growth th From incept ption ion, , Nexus us has been n
Portfolio Management & Financial Counsel
NE NEXU XUS S UP UPDATE ATE
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Two additions to the Nexus Team in 2017 Team will continue to grow
Terence Tse Nancy Cruz
From incept ption ion, , Nexus us has been n committe ted to superior ior clie ient t servic ice Team am Growth th
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8.5% 5.5% 8.1% 5.8% 6.3% 5.1% Nexus Balanced Fund (1) Nexus Equity Fund (1) Nexus Income Fund (1) Market Benchmark (2) Market Benchmark (3) Market Benchmark (4)
NE NEXU XUS S UP UPDATE ATE
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Clients ts have enjoyed yed good long-te term rm portfolio
- lio growth
th Client t Portfoli
- lio
- Growth
th
Average Annual Returns for Nexus Funds
January 1, 200 000 0 to October er 31, , 2017 17 (5)
(1) Nexus return is the compound average annual return shown prior to the deduction of management fees, but after deduction of all other expenses. Past performance is not indicative of future results. (2) Equity Fund market benchmark is 5% FTSE TMX Canada 91 Day TBill Index, 50% TSX, and 45% S&P 500 (in C$); rebalanced monthly. (3) Balanced Fund market benchmark is 5% FTSE TMX Canada 91 Day TBill Index, 30% FTSE TMX Canada Universe Bond Index, 40% TSX, and 25% S&P 500 (in C$); rebalanced monthly. (4) Income Fund market benchmark is the FTSE TMX Canada Universe Bond Index. Note that in addition to bonds, up to 20% of the Income Fund portfolio may be invested in equity securities. (5) Return data for the Income Fund is from its inception date of September 30, 2002.
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$250 $660 $1,800 2000 2010 Now
NE NEXU XUS S UP UPDATE ATE
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Thanks nks to the support of our clie ients ts, Nexu xus contin inue ues to grow
Nexus Assets Under Management ($ millions)
Firm Growt wth
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Age of Disrupt ption
- n
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AGE GENDA NDA
1.
Unsettled Times
2.
The Age of Disruption
3.
Investment Implications
5
- Overview
- From Cars to Transportation-as-a-Service (“TaaS”)
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UN UNSETTLED ETTLED TIM IMES ES
6
We live in unsettled times…
North Korea High Consumer Debt Trade Protectionism Brexit Bubbly Markets
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UN UNSETTLED ETTLED TIM IMES ES
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…and businesses are experiencing major change RETAIL APOCALYPSE CONTINUES AT DEPARTMENT STORES
Fox Business, September 2017 The Independent, July 2017
FRANCE WILL ‘BAN ALL PETROL AND DIESEL VEHICLES BY 2040’
Tripadvisor.ca, September 2017
PRAGUE TAXI DRIVERS ROUGHING UP UBER DRIVERS AT AIRPORT BANKS MAY FACE KODAK-STYLE OBSOLESCENCE IN 5 YEARS
Bloomberg, July 2017
CABLE TV CORD-CUTTING IN CANADA EXPECTED TO ACCELERATE
CBC, April 2017
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UN UNSETTLED ETTLED TIM IMES ES
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Nobody y wants ts to b be a K Kodak ak
Dominant market share in film and photographic paper 140,000 employees 1999 profits peak at US$1.4 billion
1990s 1990s 2012 2012
Kodak developed the first digital camera in 1975!
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UN UNSETTLED ETTLED TIM IMES ES
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Newcomers have mushroomed… Uber is a good example
Taxi industry heavily regulated
- Cars inspected and drivers licenced
- NYC licences sell for > US $1 million (1)
Social norms
- “Never accept a ride from a stranger”
- “Don’t share your credit card on the
internet”
Uber launches in San Francisco
- Unlicensed private cars
- Part-time, untrained (2) drivers
2011 2011 2017 2017
Uber is the #1 ride company globally
- Operates in 674 cities in 83 countries
- Net revenue of $7 billion
(1) In 2017, NYC licenses trade for under $250,000. (2) Uber drivers get less than an hour of training… on the internet.
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AGE GE OF OF DIS ISRUPTI UPTION ON
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Many entire ire industrie ries are undergo going ing radica cal l change ge Overvie view
Newspapers Telecom Music Industry Travel Agents Cable Networks Retail Taxis Accommodation Power Generation Cars
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AGE GE OF OF DIS ISRUPTI UPTION ON
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Why is this happenin ning? g? Overvie view
Techno hnolog
- gical
cal Change ge Social l Change ge Regulato latory Change ge Environmen mental l Change ge
Disrupt ruption
- n
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11% 11% 15% 15% 59% 59% 118% 38% 38% 41% 41% Solar PV Batteries Digital Imaging Communication Data Storage Computer Processing
AGE GE OF OF DIS ISRUPTI UPTION ON
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Tech chno nolo logic gical l change ge is a m massive ve enabler ler
(1) Improvement measured as cost reduction per unit over time.
Source: RethinkX; Kleiner Perkins; CLSA.
Annualized Rate of Performance Improvement (1)
Continuo uous Improve vemen ment Adoption ion Invent ntion ion Overvie view
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Angry Birds Facebook Internet TV TV Radio Telephone
75 Years 38 Years 13 Years 4 Years 3.5 Years 35 Days
AGE GE OF OF DIS ISRUPTI UPTION ON
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The adoption
- n rate of new
w products cts has acceler lerate ated
Source: Citi Digital Strategy Team.
Time to Reach 50 Million Users
Overvie view
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AGE GE OF OF DIS ISRUPTI UPTION ON
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This is a r revolu
- lutio
tion, n, not evolut lutio ion
1760 - 1840 Steam Engine Weaving Loom 1870 - 1920 Electricity Internal Combustion Engine Light Bulb 1970 - Today Semiconductor Personal Computer Internet Today 3D Printing Artificial Intelligence Autonomous Vehicles
1st
st Industria
rial Revoluti tion
- n
Mecha chaniz nizatio tion
2nd
nd Industria
rial Revoluti tion
- n
Mass Product ction ion
3rd Industria rial Revoluti tion
- n
Digital tal
4th
th Industri
trial Revoluti tion
- n
Automat ation ion Overvie view
Portfolio Management & Financial Counsel
AGE GE OF OF DIS ISRUPTI UPTION ON
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It’s tempting, but tough to predict the future Overvie view
Can’t predict markets Can’t predict the real world
“There is no reason anyone would want a computer in their home.” Ken Olsen, Digital Equipment Corp.,1977 “There will be 900,000 cell phone users in the U.S. by 2000.”(1) AT&T, 1980
But investors have to look ahead
- Understand and accept change
Nexus November 2013 Presentation
(1) In fact, there were 110 million cell phone users in the U.S. by 2000. Source: World Bank.
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AGE GE OF OF DIS ISRUPTI UPTION ON
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Could the automot
- tive
ive industr try y be disrupte ted? d? Trans nspo port rtat ation ion-as as-a-Servic vice
Shared
Better Cheaper Wanted Not constrained by regulations New business model
Criteria for Disrupti tion
- n
Owned
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AGE GE OF OF DIS ISRUPTI UPTION ON
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Cars are ubiquitous… Trans nspo port rtat ation ion-as as-a-Servic vice
1 billion cars 16 trillion km/year 400 billion driver hours
Note: Assumes an average of 16,000 km/year at 40 km/hour. Source: Morgan Stanley.
- 21 million round trips
to the moon
- 45 million years
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AGE GE OF OF DIS ISRUPTI UPTION ON
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…and the industry is much more than just the car manufacturers Trans nspo port rtat ation ion-as as-a-Servic vice
Car manufacturers Parts suppliers Auto dealers Fuel network Service Auto insurance Car rental Parking Taxi/Ride sharing
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$0.60 Owned Shared $0.20 to $0.40
- 35% to
- 65%
65%
C$ C$
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But car ownership is very inefficient… …so Taas as would d be econo nomic icall lly y compell lling ing
Cars are underutilize zed Drivers’ time is wasted
Used 1 hour a day 1.55 seats
- ccupied
What is the value of your time?
Autonomous Shared ed
(1) Actual usage relative to maximum possible utilization.
Source: Morgan Stanley, RethinkX.
Utilization (1) Cost per Seat Kilometer
1.25%
- 4%
- 31%
Trans nspo port rtat ation ion-as as-a-Servic vice
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…and TaaS aS could solve other proble lems
Source: Morgan Stanley.
- Shared
- Autonomous
- Electric/Hybrid
Trans nspo port rtat ation ion-as as-a-Servic vice
Accidents
1.3 million deaths/year
Emissions
45% of global oil demand Pollution and CO2
Wasted space
4 billion parking places
- 110,000 km2
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The speed and path to TaaS aS is unknow
- wable
ble
Electric cars
- Reliable, long life
- Improving range
Autonomous
- Sensors
- “Computer on Wheels”
Regulation
- Carbon
- Pollution
- Congestion
Enablers rs Barrier ers
Change fuel network Safety Behavioural change Vested interests Cheap cars and gasoline slow conversion
Trans nspo port rtat ation ion-as as-a-Servic vice
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The disruption ion would ld be massive ve
Losers Winners
Car manufacturers and parts suppliers New tech providers Auto dealers, repair, rental and insurance sectors TaaS fleet owners Existing fuel network New fuel network Real estate owners Leisure providers
Trans nspo port rtat ation ion-as as-a-Servic vice
Portfolio Management & Financial Counsel
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
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The risk of disruption ion breeds s hype and expe pect ctat ations ions Perce cept ption ion Expe pect ctat ation ions Respon ponse se Short-te term m Respon
- nse
Potential Disrupt ption
- n
Market Share & Profits Share Price
News Hope/Fear
Less Affected Winners Losers
Hype
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IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
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Over the longer term, , reali lity y interve venes nes
Trend changes
- Doesn’t develop
- Occurs slowly
Obstacles occur
- Behavioural
- Established assets
- Regulatory
Competition
- Many new players
- Incumbents respond
Real Econom
- my
y Realiti ties es Market Reality
Short term
- Opinion drives share prices
“Market is a voting machine”
Long term
- Cash flows determine value
“Market is a weighing machine”
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Real al Economy Reali aliti ties Mark rket t Reali ality ty
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
Over the longer term, four paths occur… (1)
(1) Excluding the “Less Affecteds”.
“Needle”
Winners Losers
Initial Percept ption
“Dunce”
Reality Eventu tual Outcome
Winners Losers
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Portfolio Management & Financial Counsel
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
…as real companies illustrate
Needle Haystack tack Comeback ck Kid Dunce
Amazon Facebook Pets.com Ballard Power Microsoft Walmart Kodak Blockbuster
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Portfolio Management & Financial Counsel
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
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It’s hard to find the needle in the haystack
2000 2000 2017 2017
Hundreds of companies with trillions in total market cap Three survivors with US$650 billion total market cap
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IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
Nexu xus believ ieves investment ment succe cess comes from managing ng risk
Companies es Path Charact cter erist stics cs
Quality companies at reasonable valuations
- Stable
- Good cash flows
- Inexpensive
Losers
Out of favour
Less Affected
Unexciting
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Contrarian picks
- Barriers to change
- Respond to the threat
- Cheap
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100% 15% 15%
- 5%
5% 90% 90% Share Price Assets Today Near-Term Future Value Add Long-Term Future Value Add 100% 65% 65% 5% 5% 30% 30% Share Price Assets Today Near-Term Future Value Add Long-Term Future Value Add
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
We can’t predict the future, but we can understand the present and estimate the near-te term rm outlook
- k
Company A: An Investment with Controlled Risk Company B: A Speculative Bet
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Nexus s Estima mate Implied ed by Market
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$50 $50 $100 $100 $150 $150 $200 $200 $250 $250 $300 $300 $350 $350 $400 $400 1999 1999 2001 2001 2003 2003 2005 2005 2007 2007 2009 2009 2011 2011 2013 2013 2015 2015 $412 103%
(49 quarters)
70% 70%
(22 quarters)
Up Up Quarters Down Quarters
Benchmark Benchmark
30
IN INVE VESTME STMENT NT IM IMPLI LICAT CATIO IONS NS
Equity y Fund
Up- & Down-Market Capture Ratios (1,2,3) Value of $100 Invested since January 1, 2000
(1) Each quarter since January 1, 2000 is defined as an “up” or “down” quarter based on whether the benchmark return for the quarter was positive or negative. For up (down) quarters, the capture
ratio is the ratio of compound average rates of return for the Fund and its benchmark for such quarters.
(2) Nexus returns are presented prior to the deduction of investment management fees. Past performance is not indicative of future results. (3) Equity Fund benchmark is 5% FTSE TMX 91 Day TBill Index, 50% TSX, and 45% S&P 500 (in C$); rebalanced monthly.
Period Ending September er 30, , 201 017
Our approach ch has worked over r the long term, , with good downside ide protect ctio ion
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CONCLU LUSI SION
31
Disruption awaits There will be winners and losers You can’t predict the future You can control risk to achieve investment success