Two months ago, who would've thought we'd be at record highs for the TSX, with the S&P up ~20%, NASDAQ up ~28%? The S&P has rebounded nicely, a little more in fact than the TSX since those April lows. The S&P has had a really great run, and trying to reach those all-time highs again (we're 2% away) is a bit tougher. Compare that to the TSX, which has lagged the last couple of years.
He is moving a little out of the US and TSX, simply because he sees valuation discounts outside NA. So he's looking at European and international markets. An uncertain US dollar helps those markets in terms of investment. Falling interest rates outside NA also helps.
He doesn't look for particular countries or regions, he's more company-specific.
Geopolitical risk is always there under the surface. The thing is, Iran doesn't have many friends. Both Assad and Hussein are gone, Hezbollah has been smashed, and Hamas is under ongoing attack. So geopolitically, doesn't think there's a huge risk here. The US is pretty dominant in this area.
Trying to predict Trump is like trying to use a Ouija board. You just don't know, and he sometimes wonders if Trump really knows. In markets like this, it's very important that investors know what they're going to do. He often says that he doesn't know what markets are going to do, but he knows what he's going to do in different types of markets. You need to have a strategy if the market drops 5%, for example. For him, he ignores it. At 10%, he starts paying attention. At 15%, he starts adding back in. At 20%, he adds another 5%.
Look at your asset allocation risk tolerance (and understand what it means), and make sure you have good-quality assets. If markets decline, you can be reasonably confident they'll come back and it gives you a great opportunity to buy more.
The last thing you want to be doing is buying into a market that's at its highs for fear of missing out. The other bad thing is panicking and selling when markets are down. It's the old buy high, sell low; exactly the opposite of what you want.
A.I. Investing Themes: Automated portfolio management and optimization
AI-powered platforms can enable continuous monitoring and real-time adjustment of investment portfolios. These tools can automatically rebalance asset allocations as market conditions change, ensuring portfolios remain aligned with investor goals and risk tolerances. Machine learning algorithms can learn from historical data to refine their optimization processes, making smarter, more accurate recommendations over time. This thesis makes sense, as it is essentially what advisers do now anyway, in trying to perfect clients’ appropriate asset allocation mix. By making such determinations more automatic, advisers will free up more time for personal consultations with existing clients, rather than plugging in numbers and expectations all day.
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US. There have been some positive economic surprises. Most of the regional PMI’s (Purchasing Managers Index) that have come out lately have been not just above expectations, but above the highest estimates. Regarding US economic growth, there was a sense for a little while that people would start to fear the Fed would start to take the punch bowl away but then we saw the market recover when people started to think that maybe it would not be that soon. If the economy is in a self-sustaining reasonable growth mode and rates go up only because of that, maybe it is not so terrible. When there is growth in the economy and things are going well, small and mid-cap companies do quite well. In a rising market they tend to outperform the broader indexes. He looks for growth, first and to him growth means revenue growth above and beyond the economy. Also, looks for strong economics in a business, so whatever that growth rate is, does it have high margins and high ROC and does the management team make allocation decisions that make sense to him. In a reasonably good economy, with the way things are going, especially in the US, he expects to see good things out of some of the industrials, some of the regional banks and technology companies.