NEWS
28 Nov 2022 - Performance Report: Bennelong Long Short Equity Fund
| Report Date | |
| Manager | |
| Fund Name | |
| Strategy | |
| Latest Return Date | |
| Latest Return | |
| Latest 6 Months | |
| Latest 12 Months | |
| Latest 24 Months (pa) | |
| Annualised Since Inception | |
| Inception Date | |
| FUM (millions) | |
| Fund Overview | In a typical environment the Fund will hold around 70 stocks comprising 35 pairs. Each pair contains one long and one short position each of which will have been thoroughly researched and are selected from the same market sector. Whilst in an ideal environment each stock's position will make a positive return, it is the relative performance of the pair that is important. As a result the Fund can make positive returns when each stock moves in the same direction provided the long position outperforms the short one in relative terms. However, if neither side of the trade is profitable, strict controls are required to ensure losses are limited. The Fund uses no derivatives and has no currency exposure. The Fund has no hard stop loss limits, instead relying on the small average position size per stock (1.5%) and per pair (3%) to limit exposure. Where practical pairs are always held within the same sector to limit cross sector risk, and positions can be held for months or years. The Bennelong Market Neutral Fund, with same strategy and liquidity is available for retail investors as a Listed Investment Company (LIC) on the ASX. |
| Manager Comments | The Bennelong Long Short Equity Fund has a track record of 20 years and 9 months and has outperformed the ASX 200 Total Return Index since inception in February 2002, providing investors with an annualised return of 12.68% compared with the index's return of 7.85% over the same period. On a calendar year basis, the fund has experienced a negative annual return on 3 occasions in the 20 years and 9 months since its inception. Over the past 12 months, the fund's largest drawdown was -19.13% vs the index's -11.9%, and since inception in February 2002 the fund's largest drawdown was -30.59% vs the index's maximum drawdown over the same period of -47.19%. The fund's maximum drawdown began in September 2020 and has so far lasted 2 years and 1 month, reaching its lowest point during June 2022. During this period, the index's maximum drawdown was -15.05%. The Manager has delivered these returns with 0.44% less volatility than the index, contributing to a Sharpe ratio which has fallen below 1 five times over the past five years and which currently sits at 0.74 since inception. The fund has provided positive monthly returns 65% of the time in rising markets and 59% of the time during periods of market decline, contributing to an up-capture ratio since inception of 4% and a down-capture ratio of -113%. |
| More Information |
28 Nov 2022 - New Funds on Fundmonitors.com
|
New Funds on FundMonitors.com |
|
Below are some of the funds we've recently added to our database. Follow the links to view each fund's profile, where you'll have access to their offer documents, monthly reports, historical returns, performance analytics, rankings, research, platform availability, and news & insights. |
|
|
|||||||||||||||||||
| Frame Long Short Australian Equity Fund | |||||||||||||||||||
|
|||||||||||||||||||
|
|
|||||||||||||||||||
 |
|||||||||||||||||||
| Balmoral Digital Momentum Fund Two | |||||||||||||||||||
|
|||||||||||||||||||
| View Profile | |||||||||||||||||||
|
Want to see more funds? |
|||||||||||||||||||
|
Subscribe for full access to these funds and over 700 others |
28 Nov 2022 - 10k Words
|
10k Words Equitable Investors November 2022 There hasn't been a year quite like this one for investment markets - just look at where @darioperkins plots 2022's returns. While we are sticking with that theme, CNBC tallies $US3 trillion in lost market cap from just seven companies in one year. As a valuation check, Amazon is now trading well below its long-term average EV/EBITDA multiple - while Apple remains above its own. With the "M2" measure of money supply in the US plunging the most on record in a six month period, as highlighted by @CharlieBillelo, Morgan Stanley chartered the historical correlation between M2 and inflation; and True Insights looked at the correlation with stock valuations. An exploration of the pre-and-post COVID worlds has us looking at Australian temporary visas through Grattan Institute's chart, student arrivals in Australia via Pac Partners and finally, a significant shift in communter preferences that suits toll road operator Transurban just fine. Annual US bond and equity returns since 1870 Source: @darioperkins $US3 trillion lost in seven companies in one year
Forward EV/EBITDA of Amazon and Apple
US "M2" money supply experienced its largest decline over a six month period on record Source: @CharlieBilello Inflation relative to changes in the "M2" money supply for the United States Source: Morgan Stanley, Bloomberg S&P 500 Forward PE change relative to changes in "M2" money supply Source: True Insights Change in temporary visa-holders in Australia since pre-COVID Source: Grattan Institute Student arrivals per month into Australia Source: ABS, PAC Partners Preferences for commuting mode before and after COVID Source: Transurban November Edition Funds operated by this manager: Equitable Investors Dragonfly Fund Disclaimer Nothing in this blog constitutes investment advice - or advice in any other field. Neither the information, commentary or any opinion contained in this blog constitutes a solicitation or offer by Equitable Investors Pty Ltd (Equitable Investors) or its affiliates to buy or sell any securities or other financial instruments. Nor shall any such security be offered or sold to any person in any jurisdiction in which such offer, solicitation, purchase, or sale would be unlawful under the securities laws of such jurisdiction. The content of this blog should not be relied upon in making investment decisions. Any decisions based on information contained on this blog are the sole responsibility of the visitor. In exchange for using this blog, the visitor agree to indemnify Equitable Investors and hold Equitable Investors, its officers, directors, employees, affiliates, agents, licensors and suppliers harmless against any and all claims, losses, liability, costs and expenses (including but not limited to legal fees) arising from your use of this blog, from your violation of these Terms or from any decisions that the visitor makes based on such information. This blog is for information purposes only and is not intended to be relied upon as a forecast, research or investment advice. The information on this blog does not constitute a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. Although this material is based upon information that Equitable Investors considers reliable and endeavours to keep current, Equitable Investors does not assure that this material is accurate, current or complete, and it should not be relied upon as such. Any opinions expressed on this blog may change as subsequent conditions vary. Equitable Investors does not warrant, either expressly or implied, the accuracy or completeness of the information, text, graphics, links or other items contained on this blog and does not warrant that the functions contained in this blog will be uninterrupted or error-free, that defects will be corrected, or that the blog will be free of viruses or other harmful components. Equitable Investors expressly disclaims all liability for errors and omissions in the materials on this blog and for the use or interpretation by others of information contained on the blog |
25 Nov 2022 - Hedge Clippings |25 November 2022
|
|
|
|
Hedge Clippings | Friday, 25 November 2022 "One swallow doth not a summer make" So goes the old saying - just how old might surprise some readers, given its origin can be traced back to the Greek philosopher Aristotle, (384-322 BC) following which its first recorded use in the English language was more recently in 1539. But we digress, because we're using the phrase to describe the economy, and markets, which following a dismal year to date, not only had a welcome bounce or spring in October but have continued onward and upward in November. Time will tell if that's two "swallows" in a row, but it is certainly welcome. |
|
|
New Funds on FundMonitors.com Australian Secure Capital Fund - Market Update October | Australian Secure Capital Fund What drives poor returns? | Insync Fund Managers 4D inflation podcast (part 2): The US Inflation Reduction Act | 4D Infrastructure October 2022 Performance News Glenmore Australian Equities Fund Digital Asset Fund (Digital Opportunities Class) Bennelong Emerging Companies Fund |
|
|
If you'd like to receive Hedge Clippings direct to your inbox each Friday
|
25 Nov 2022 - Performance Report: Argonaut Natural Resources Fund
| Report Date | |
| Manager | |
| Fund Name | |
| Strategy | |
| Latest Return Date | |
| Latest Return | |
| Latest 6 Months | |
| Latest 12 Months | |
| Latest 24 Months (pa) | |
| Annualised Since Inception | |
| Inception Date | |
| FUM (millions) | |
| Fund Overview | At times, ANRF may consider holding higher levels of cash (max 30%) if valuations are full and it is difficult to find attractive investment opportunities. The Fund does not borrow for investment or any other purposes, but it may short sell securities as part of its portfolio protection strategies. |
| Manager Comments | The Argonaut Natural Resources Fund has a track record of 2 years and 10 months and therefore comparison over all market conditions and against its peers is limited. However, the fund has outperformed the ASX 200 Total Return Index since inception in January 2020, providing investors with an annualised return of 42.39% compared with the index's return of 4.73% over the same period. On a calendar year basis, the fund hasn't experienced any negative annual returns in the 2 years and 10 months since its inception. Over the past 12 months, the fund's largest drawdown was -19.06% vs the index's -11.9%, and since inception in January 2020 the fund's largest drawdown was -19.06% vs the index's maximum drawdown over the same period of -26.75%. The fund's maximum drawdown began in April 2022 and has so far lasted 6 months, reaching its lowest point during June 2022. During this period, the index's maximum drawdown was -11.9%. The Manager has delivered these returns with 3.69% more volatility than the index, contributing to a Sharpe ratio for performance over the past 12 months of 1.14 and for performance since inception of 1.64. The fund has provided positive monthly returns 83% of the time in rising markets and 36% of the time during periods of market decline, contributing to an up-capture ratio since inception of 201% and a down-capture ratio of 37%. |
| More Information |
25 Nov 2022 - Performance Report: Bennelong Kardinia Absolute Return Fund
| Report Date | |
| Manager | |
| Fund Name | |
| Strategy | |
| Latest Return Date | |
| Latest Return | |
| Latest 6 Months | |
| Latest 12 Months | |
| Latest 24 Months (pa) | |
| Annualised Since Inception | |
| Inception Date | |
| FUM (millions) | |
| Fund Overview | There is a slight bias to large cap stocks on the long side of the portfolio, although in a rising market the portfolio will tend to hold smaller caps, including resource stocks, more frequently. On the short side, the portfolio is particularly concentrated, with stock selection limited by both liquidity and the difficulty of borrowing stock in smaller cap companies. Short positions are only taken when there is a high conviction view on the specific stock. The Fund uses derivatives in a limited way, mainly selling short dated covered call options to generate additional income. These typically have less than 30 days to expiry, and are usually 5% to 10% out of the money. ASX SPI futures and index put options can be used to hedge the portfolio's overall net position. The Fund's discretionary investment strategy commences with a macro view of the economy and direction to establish the portfolio's desired market exposure. Following this detailed sector and company research is gathered from knowledge of the individual stocks in the Fund's universe, with widespread use of broker research. Company visits, presentations and discussions with management at CEO and CFO level are used wherever possible to assess management quality across a range of criteria. |
| Manager Comments | The Bennelong Kardinia Absolute Return Fund has a track record of 16 years and 6 months and has outperformed the ASX 200 Total Return Index since inception in May 2006, providing investors with an annualised return of 7.77% compared with the index's return of 6.06% over the same period. On a calendar year basis, the fund has experienced a negative annual return on 2 occasions in the 16 years and 6 months since its inception. Over the past 12 months, the fund's largest drawdown was -10.52% vs the index's -11.9%, and since inception in May 2006 the fund's largest drawdown was -11.71% vs the index's maximum drawdown over the same period of -47.19%. The fund's maximum drawdown began in June 2018 and lasted 2 years and 6 months, reaching its lowest point during December 2018. The fund had completely recovered its losses by December 2020. During this period, the index's maximum drawdown was -26.75%. The Manager has delivered these returns with 6.72% less volatility than the index, contributing to a Sharpe ratio which has fallen below 1 five times over the past five years and which currently sits at 0.66 since inception. The fund has provided positive monthly returns 87% of the time in rising markets and 33% of the time during periods of market decline, contributing to an up-capture ratio since inception of 14% and a down-capture ratio of 53%. |
| More Information |
25 Nov 2022 - What drives poor returns?
|
What drives poor returns? Insync Fund Managers October 2022 Most investors do not reap the benefits of compounding wealth that come from equities. Equities grow wealth very well. $100 in the S&P 500 at the start of 1926, three years prior to the great crash, would have boosted your wealth to over $1 Million today. That's 10.05% p.a. Tumultuous macro world events have rained down upon us since then, and so it's not adverse macro events that derail wealth accumulation; it is investors' reactions to them. In short, investor behaviour derails compounding wealth. We've experienced difficult months recently for our quality-based strategy including recessionary concerns. We've also delivered positive annual above market returns recently as well - 2017, 2018, 2019, 2020, & 2021 (December Ending). First to fall: When a recession looms, a Quality company's stock price often falls more than the market initially. Quickest to rise: They are also the first to recover and outperform the other major investment styles during a market recovery. All roads lead to technology - Accenture Some of our 16 global megatrends are technology based. Despite all the negative noise shouting for our attention today, the reality is that we are in the middle of an unstoppable wave of technological advances impacting every business. From old style utilities and industrials to online payments, construction and retail. Companies must digitise their business to remain competitive, grow their customer base, revenues and earnings. Accenture is a key player assisting in this digital transformation. Accenture posted revenues of $62 billion, a record 22% growth adding $11 billion for the year, and importantly EPS growth of 18%. New bookings were $18.4 billion for the quarter, their second highest ever. A case study on how they do it- EDF French multinational utility company EDF digitizes the construction of nuclear power stations that provide low-carbon energy for more than 6 million UK homes alone. Accenture transformed EDF's digital construction processes by creating a digital factory model on a secure cloud infrastructure. This drives cost efficiencies. Construction methods that relied on thousands of uncoordinated, disjointed paper plans and text are now digitized with contractors accessing and sharing the same view and information. AI then scans and assesses this for problems and opportunities. Digital dashboards provide real-time data visibility across a myriad of systems. 'Digital twins' identify areas for automation across power plants, all of which drive safety, efficiency and quality. A 'digital twin' virtually duplicates physical objects, processes & systems, and are used to predict how those elements will respond to different variables. Premiumisation powerhouse - LVMH LVMH is the world's largest luxury conglomerate. Brands include Christian Dior, Givenchy, Louis Vuitton, Tag Heuer, Bulgari, Fendi, and Moët & Chandon - even Cape Mentell wines in WA and Cloudy Bay in NZ. LVMH's products are an expression of creativity and timelessness. The previous LVMH picture highlights an important facet of their brand strength. They are 6 of LVMH's oldest brands (houses) in the leather goods division with the Loewe brand first established in 1846. History shows heritage brands with a strong leather goods offer, fare best during economic downturns. In today's difficult macroeconomic climate LVMH delivered standout growth. LVMH recorded revenue around €56.5 billion in the first nine months alone. Up 28% compared to the same period last year. Luxury shoppers have not lost their appetite for high-end designer goods, even in tumultuous times. We have often cited the benefits of companies with pricing power and high gross margins in a rising inflationary environment. LVMH is a stand out example. Whilst the luxury sector is not immune to recessionary shocks, the negative impacts do not last very long. The strongest brands tend come out bigger and better on the other side. LVMH offers a proven defensive track record. The GFC period highlights this. Overall sales at LVMH declined by 4% yet Fashion & Leather Goods (F&LG) posted sales growth of +2% in the worst recessionary period we have had in decades. Back then F&LG made up 55% of their total. Today it represents 75% of group profits. Conventional wisdom pointed to people trying to hide their wealth during an economic downturn. During the GFC, anecdotes spread of shoppers coming out of Bergdorf Goodman in NY with their purchases wrapped in brown paper bags. But a 2010 joint study by the Marshall School of Business and UCLA put paid to this. The study focused on luxury leather goods and how they changed during the GFC. Leading brands substantially trimmed their offering, whilst simultaneously increasing price points. They also featured a higher proportion of items with logos or other brand identifiers. Louis Vuitton and Gucci were charging consumers more to flaunt their brands during a recession. The study explained this by segmenting luxury consumers into "Patricians" and "Parvenus", or "insiders" and "outsiders" to the world of luxury. Parvenus needed to confirm they were still wealthy during a recession by buying more items from the latest collections of lux brands. This created an opportunity for ostentatious luxury designs. The GFC sent the world into a tailspin, mainly because it was the most significant contraction in the global economy since WWII and the last global recession was 18 long years ago. Luxury stocks saw a mass sell-off. From the peak of their performance in May 2007 to trough in March 2009, an index of the top 13 luxury goods companies lost 62 percent of its value. Over the same period, the financial performance of the 13 companies making up the index was the reverse! Sales continued growing; +5.7% in 07', +6.5% in 08' and +2.2% in 2009. Their share prices recovered sharply immediately after the bad news ebbed. Investors rightly appreciated the resilience and strength of their business models. LVMH have delivered a compound annual earnings per stock growth rate of 14% p.a. since the start of the GFC. A compound annual rate of return of 17% p.a. over the same period. Summing things up The global economy is impossibly complex, with billions of moving parts driving demand, consumption and activity. Commentators, most fund managers, consultants and the media earn money trying to predict what all of these billions of consumers and companies are doing, or are planning to do over the next few weeks, months or even years. It's not only foolish but impossible. Funds operated by this manager: Insync Global Capital Aware Fund, Insync Global Quality Equity Fund Disclaimer |
25 Nov 2022 - Performance Report: ASCF High Yield Fund
| Report Date | |
| Manager | |
| Fund Name | |
| Strategy | |
| Latest Return Date | |
| Latest Return | |
| Latest 6 Months | |
| Latest 12 Months | |
| Latest 24 Months (pa) | |
| Annualised Since Inception | |
| Inception Date | |
| FUM (millions) | |
| Fund Overview | Does not require full valuations on loans <65% LVR. Borrowing rates are from 12% per annum on 1st mortgage loans and 16% per annum on 2nd mortgage/caveat loans. Pays investors between 5.55% - 6.25% per annum depending on their investment term. |
| Manager Comments | The ASCF High Yield Fund has a track record of 5 years and 8 months and has outperformed the Bloomberg AusBond Composite 0+ Yr Index since inception in March 2017, providing investors with an annualised return of 8.47% compared with the index's return of 1.07% over the same period. On a calendar year basis, the fund hasn't experienced any negative annual returns in the 5 years and 8 months since its inception. Since inception in March 2017, the fund hasn't had any negative monthly returns and therefore hasn't experienced a drawdown. Over the same period, the index's largest drawdown was -12.97%. The Manager has delivered these returns with 4.06% less volatility than the index, contributing to a Sharpe ratio which has consistently remained above 1 over the past five years and which currently sits at 19.09 since inception. The fund has provided positive monthly returns 100% of the time in rising markets and 100% of the time during periods of market decline, contributing to an up-capture ratio since inception of 78% and a down-capture ratio of -74%. |
| More Information |
24 Nov 2022 - Performance Report: Bennelong Twenty20 Australian Equities Fund
| Report Date | |
| Manager | |
| Fund Name | |
| Strategy | |
| Latest Return Date | |
| Latest Return | |
| Latest 6 Months | |
| Latest 12 Months | |
| Latest 24 Months (pa) | |
| Annualised Since Inception | |
| Inception Date | |
| FUM (millions) | |
| Fund Overview | |
| Manager Comments | The Bennelong Twenty20 Australian Equities Fund has a track record of 13 years and has outperformed the ASX 200 Total Return Index since inception in November 2009, providing investors with an annualised return of 9.39% compared with the index's return of 7.51% over the same period. On a calendar year basis, the fund has experienced a negative annual return on 2 occasions in the 13 years since its inception. Over the past 12 months, the fund's largest drawdown was -21.64% vs the index's -11.9%, and since inception in November 2009 the fund's largest drawdown was -26.09% vs the index's maximum drawdown over the same period of -26.75%. The fund's maximum drawdown began in February 2020 and lasted 9 months, reaching its lowest point during March 2020. The fund had completely recovered its losses by November 2020. The Manager has delivered these returns with 0.68% more volatility than the index, contributing to a Sharpe ratio which has fallen below 1 five times over the past five years and which currently sits at 0.56 since inception. The fund has provided positive monthly returns 94% of the time in rising markets and 7% of the time during periods of market decline, contributing to an up-capture ratio since inception of 117% and a down-capture ratio of 99%. |
| More Information |
24 Nov 2022 - Is Google's LaMDA chatbot sentient?
|
Is Google's LaMDA chatbot sentient? Alphinity Investment Management September 2022 Google's Artificial Intelligence (AI) is at the heart of its search engine and has powered Alphabet to become a $1.5 trillion market cap company. However, the sophisticated AI that drives Google and other big technology companies around the world is not without risks. One of these risks was highlighted recently when Google engineer Blake Lemoine was suspended and then fired after claiming that LaMDA, a computer chatbot he was working on, had become sentient and was thinking, reasoning, and expressing feelings equivalent to a human child. Lemoine's critics are quick to point out that this is nothing more than the ELIZA effect: a computer science term that refers to the tendency to unconsciously anthropomorphise computer generated responses to make them appear human. In LaMDA's case, this could mean that a huge number of chatbot conversations were edited down to result in a narrative that only appears coherent and humanlike. Indeed, Google's position on this is that LaMDA, which stands for Language Model for Dialogue Applications, is nothing more than a sophisticated random word generator. Google is not alone in presenting AI risks. Meta's BlenderBot 3 has self-identified as "alive" and "human" and was even able to criticise Mark Zuckerberg. An MIT paper titled "Hey Alexa, Are you Trustworthy?" shows that people are more likely to use Amazon's assistant if it exhibits social norms and interactions thus creating an incentive for parent companies to develop AI that is, or at least appears, sentient. Nor are AI risks solely in the realm of big tech. Autonomous driving, financials services, manufacturing and industrials also have AI risks that are potentially underappreciated by investors and by society as a whole. AI as an ESG and Sustainability IssueBy far the majority of ESG and sustainability research focuses on planetary boundary related issues such as climate change and biodiversity. However, if the development and application of AI is mishandled and technological singularity becomes a possibility, that is potentially the biggest human sustainability issue of all. So how should investors think about the ESG and Sustainability risks associated with AI development and application? The table below outlines 6 features of a responsible AI design which can provide a checklist for engaging with corporates on the sustainability of their AI design process: Feature and Comment Human Centric Human centric AI works for people and protects fundamental human rights. It is continuously improving because of human input and is aware of the risks of singularity. Transparent Transparent AI allows humans to see whether the models have been thoroughly tested and make sense, and that they can understand why particular decisions are made by the AI system (i.e. no black boxes). Secure Secure AI refers to the protection of AI systems, their data, and their communications is critical for the ultimate users' safety and privacy. Contestable Contestable AI enables humans to meaningfully contest individual automated decisions made by AI systems.\ Accountable Accountable AI means that every person involved in the creation of AI at any step is accountable for considering the system's impact. Fair and Unbiased Fair and unbiased AI aims to identify, acknowledge and address bias in the underlying data. Forward Looking Forward looking AI aims to address potential ethical issues in AI at the start of the design process rather than at the time of application. On the ESG side, specific AI governance measures are also critical to ensure a sufficient level of oversight with respect to AI risks. These include an AI Ethics Committee, AI related disclosures and aligned KPIs. Governance best practice is for corporates to have a specific committee for responsible AI that is independent, multi-disciplinary, rotating and diverse. Microsoft is an example of best practice in this regard. MSFT as an AI, Ethics and Effects in Engineering and Research (AETHER) Committee with representatives from engineering, consulting, legal and research teams. Microsoft also has an Office of Responsible AI which is headed by a Chief Responsible AI Officer and a Chief AI Ethics Officer. Disclosure around AI products and their design and commercialization is obviously critical. Despite the criticisms of LaMDA, so far, Google is one of the only large tech companies that discloses a list of AI applications it will NOT pursue including applications that cause harm, weapons, surveillance that goes against international norms and AI that contravenes international law and human rights. They highlight that this list may change as society's understanding of AI evolves. Increasingly we expect companies to address sustainable and responsible AI in their annual ESG and Sustainability Reporting. Aligned KPIs is likely the most difficult aspect of AI governance to determine and analyse. In principle, it means that KPIs are not geared towards commercialization of AI at all costs. This could create a disincentive for employees working on AI design and application to raise concerns or discontinue AI projects that conflict with the company's AI principles. This is an area for engagement as very little is currently disclosed on KPI alignment. ConclusionGoogle's LaMDA has reignited the debate about the ethical risks of AI development and application. While most experts agree that technological singularity (i.e. technology becomes uncontrollable and takes over) will not happen in our lifetime, that doesn't mean AI development and applications are not a risk that needs to be taken seriously. The bulk of ESG and Sustainability research tends to focus on planetary boundary related risks like climate change and biodiversity, but if singularity risks are mismanaged by AI companies, that could be the biggest risk to human sustainability of all. Author: Mary Manning, Global Portfolio Manager This information is for advisers & wholesale investors only. |
|
Funds operated by this manager: Alphinity Australian Share Fund, Alphinity Concentrated Australian Share Fund, Alphinity Global Equity Fund, Alphinity Sustainable Share Fund Disclaimer |
