How ChatGPT can be a helpful assistant in the investment process
Numerous articles on how to use ChatGPT for various life situations and professions to improve work and processes have also been published in the past few weeks.
Naturally, I am interested in streamlining both the research and investment processes, which raised the intriguing topic of how ChatGPT may be used for investing.
In order to make investment decisions, analysts might use ChatGPT to analyze financial statements and other data.
Additionally, ChatGPT can assist in spotting market data trends and patterns that could otherwise, go unnoticed because of how swiftly ChatGPT operates, it can complete this task considerably more quickly than a person.
It offers a person, at the very least, a beneficial, rapid starting point from which to explore deeper.
Let’s take a look at a few of the subjects that analysts typically examine, and where ChatGPT might be a useful helper.
It can explain a company’s business model, revenue generation methods, and operational procedures.Additionally, if we dig a bit deeper, we might ask for details about a company’s management group or its many business divisions. (of course, keep in mind that the information might not be accurate).
We may once more ask for more detailed information about a certain acquisition, and it can display the most significant acquisitions over a specific period of time.
We can ask ChatGPT to list potential competitors of a business and get solid results.
Both the basic performance of the company’s operations and the performance of the stock price may be disclosed to us. Sometimes it also makes comparisons with other firms and how they performed around the same time.
Large datasets can be analyzed with ChatGPT to discover patterns that are difficult to see with conventional analysis techniques. It can swiftly spot trends and patterns by being trained on data, which can help with financial modelling and decision-making.
While calculating a relative valuation ratio should be doable provided ChatGPT has access to the most recent data, determining an intrinsic value for a company is more difficult and appears to be beyond the scope of ChatGPT’s capabilities.
Even if ChatGPT were able to draw these inferences that are used in a discount cash flow calculation, I suppose that it would still not create an intrinsic value because people might base their judgments on that knowledge and the corporation could be held accountable.
In conclusion, ChatGPT is certainly not a shortcut to reaching an investment decision about a certain company or stock. The final decision on whether to invest in an asset is still our own responsibility.
However, ChatGPT can help us in the research process and get the necessary information. Information and data by themselves are not enough as we still must interpret the data and make a final investment decision, but it can make the research process more efficient.
The Author is co-founder and director, Credent Asset Management
(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
GM, POSCO Future M to boost investment at battery materials plant in Canada – The Globe and Mail
General Motors Co GM-N and South Korea’s POSCO Future M said on Friday they will invest more to boost production at their chemical battery materials facility in Canada, taking their estimated total investment in the plant to over $1-billion.
The companies said the new investment includes an additional CAM and a precursor facility for local on-site processing of critical minerals.
The development comes a few days after the Canada’s federal government and the Quebec province each provided about C$150-million ($112-million) for the facility.
The companies last year established Ultium CAM joint venture, which is majority owned by POSCO Future M, and had initially invested about $327-million, according to media reports.
Their battery facility in Becancour, Quebec, will produce cathode active material (CAM) for electric vehicle (EV) batteries.
Canadian pension fund CDPQ puts brakes on China investment, Financial Times reports – Reuters
June 1 (Reuters) – Canada’s second-largest pension fund Caisse de dépôt et placement du Québec (CDPQ) has stopped making private deals in China and will close its Shanghai office this year, the Financial Times reported on Thursday, citing people familiar with the matter.
The news follows a May 8 parliamentary hearing in which several Canadian pensions, including CDPQ, were asked about their relationship with China as bilateral political tensions have intensified.
CDPQ is leading its regional investment efforts from Singapore, the report said, noting that it still has business interests in China.
“We paused private investments for some time already — and have focused on liquid markets, which is the majority of our two per cent total portfolio exposure to China. We expect this trend to continue,” the newspaper quoted CDPQ as saying in a statement.
CDPQ confirmed the Shanghai office closure later this year, but declined to comment further.
The Financial Times in February reported that Singapore’s sovereign wealth fund GIC has reduced private investments in China.
During the May hearing, Michel Leduc, a senior manager at the Canada Pension Plan Investment Board (CPPIB), said China was an “important source” for its portfolio.
“We recognize that any investment in China needs to be handled with care, sophistication, and an acute understanding of the current political and geopolitical environment,” Leduc said.
A CPPIB spokesperson declined to comment further on Thursday.
In May, Canada’s C$211.1 billion ($157.87 billion) British Columbia Investment Management Corporation (BCI) said it had reduced exposure in China and Hong Kong by about 15% over two years and paused direct investments in China.
“Our current exposure in China is less than 5% of the overall BCI portfolio, the majority of which is through public markets and via indexed funds,” the asset manager said.
In April Canada’s third largest pension fund, Ontario Teachers’ Pension Plan (OTPP), also closed its China public equity investment team based in Hong Kong.
At the start of the year, OTPP said it was pausing future direct investments in private assets in China, citing geopolitical risk as a factor.
OTPP expects to name a new head of Asia-Pacific Private Capital Direct in the coming months to replace Raju Ruparelia who has left to pursue other opportunities, a spokesperson said by email.
($1 = 1.3372 Canadian dollars)
Our Standards: The Thomson Reuters Trust Principles.
Why Canada would benefit from 'direct index' investing – The Globe and Mail
Traditionally reserved for institutions and ultra-high net worth individuals, direct indexing is a hot topic for investors as technology advances and downward pressure on retail trading commissions have done much to democratize its access. In the United States, direct indexing strategies are expected to outpace the growth of both ETFs and mutual funds. In response, U.S.-based providers are scrambling to build, buy or partner to acquire the required capabilities to get in on the action, driving down the costs and required account minimums for investors. For Canadians, it’s worth getting a better understanding on what Direct Indexing is, and what we can expect for the future of these strategies north of the border.
As a brief overview, direct indexing amounts to personalization at scale. Similar to a traditional investment fund, direct indexing gives individual investors a way to get exposure to a broad segment of the investment market, such as an equity index. Unlike traditional funds, however, direct indexing involves individuals investing directly in the underlying securities (stocks or bonds that make up a larger index), instead of simply buying units of a fund. Investing in this way offers multiple benefits. First, there are a variety of tax strategies (most notably tax loss harvesting) made available by directly holding the individual securities, which can add a potential 1-3% after-tax return on an annual basis. Second, the investor would have near-full autonomy to incorporate their personal preferences for the purpose of excluding securities that do not align with their values or investment objectives. Consider an index that is made up of the 500 largest companies listed in the United States, when investing in this product the investor does not have the choice of what companies make up this portfolio, meaning they may be required to invest in companies that do not align with their values or investment objectives. However, by holding the underlying securities, these non-aligned stocks can be excluded from the investor’s portfolio. While traditional thematic ETFs and mutual funds provide generic options for investor choice, the opportunities for hyper-personalization inherent in direct indexing strategies are almost endless.
As a concept, direct indexing is not new. Sophisticated investors, such as institutions and wealthy investors, have long held the requisite buying power and influence to overlay all manners of unique constraints on their investment portfolios. However, technology advances that could handle significant scale coupled with reduced trading costs brought this concept into the hands of individual investors – the former made it possible for investment managers to offer direct indexing while the latter made it affordable for the retail market.
The seismic nature of this shift cannot be undersold. Consider an investment advisor seeking to satisfy the individual needs of their clients across 10,000 individual investment portfolios. They’d need to manually ingest a mountain of client-level information, go about buying into hundreds of thousands of individual securities and monitor all accounts to identify portfolios that require rebalancing when they drift out of alignment. Prior to the advances described above, this would be cost- and time-prohibitive. Direct indexing offers this high degree of personalization in an automated fashion that is feasible for the investment manager, while better serving individual client needs.
When compared to the U.S., Canada has been slower to internalize the required pre-conditions to support direct indexing, but the outlook is increasingly positive. Leading direct indexing technology-solution providers in the U.S. are expressing interest in Canada as an expansion target. Additionally, Canadian broker-dealers are exploring ways to enable zero commission trading at scale. Fractional shares, at one time considered more of a marketing gimmick, is also slowly finding its footing as firms are tapping into lower account balance investors that are seeking alternatives to traditional funds.
Beyond these structural considerations, it’s worth examining whether demand among Canadian investors will be sufficient to justify bringing direct indexing to the Canadian market. For instance, the main driver for adoption of direct indexing in the U.S. is the opportunity to capture additional after-tax returns through direct indexing’s optimization capabilities. However, given tax code differences in Canada related to the treatment of capital gains, the benefit provided from tax optimization strategies deployed on Canadian portfolios will likely be less than those experienced by our counterparts south of the border. That said, believers in the concept remain steadfast that the increase in personalization for Canadian investors will be enough to drive demand for direct indexing.
Direct indexing likely still has a place in the Canadian investment landscape, despite the differences between Canada and the U.S.. The first ‘Canadianized’ direct indexing solution made available to the mass-market will have to navigate Canada’s structural nuances; if done successfully, investors aim to significantly benefit by accessing institutional investment capabilities at a cost likely competitive with most Canadian mutual funds.
Michael Thomson is director, and Jeffrey Joynt a consultant, with Alpha Financial Markets Consulting
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