I detect a lot of worry about the global economic outlook. This is understandable. Equities are close to, or at, record highs with extended valuations. Growth fears have crept higher on investors’ list of concerns, most notably with signs of softness in the US labour market as well as persistently weak domestic demand in Europe. Add a still-fragile Chinese economy to the mix, despite hopes of stimulus, and the prospect of a leap in economic uncertainty after next month’s US presidential elections, it is no wonder investors are on edge. But what if I told you that global leading indicators are strong and healthy and that combined with falling inflation and falling interest rates, this is one of the best macro-setups for risk assets. I suspect many would reply that such tailwinds already are comfortably priced-in to equity and credit markets. I am sympathetic to that point, but hear me out.
Read MoreLast week was a good day for my boss Ian Shepherdson who has been sticking his neck out since the beginning of the year with a call that the Fed would cut rates this year by more than the consensus believes. It was a bad day for a lot of other forecasters and investors. I recently joked with him that we were just one bad payroll report away from markets freaking out. That report landed on Friday, pushing already nervy markets into near meltdown. We know the drill; bonds soared, equities crashed, and “US recession risks” hit a headline near you. Of course, the Fed hasn’t cut rates yet, but even before Friday’s data, everyone expected the first cut in September. Expectations are now shifting towards a 50bp reduction, and further cuts in quick succession after that. The decision to hold rates in July is now freely being seen as a mistake.
Read MoreIt’s been a while since I ran through my favourite charts for the global economy. I am happy to report that nothing much seems to have changed since my last overview. Markets are still enjoying a soft landing, defined as a world in which inflation is drifting lower, even if still-sticky in key areas, the global economy and labour markets remain unencumbered, and monetary policy is on track to ease modestly. More immediately, a run of softish inflation data in the US, rising jobless claims—despite still solid non-farm payrolls—and the return of political uncertainty in Europe have driven a bond rally in the past few weeks, and raised questions about the strength of the US economy. As a result, markets are now pricing in slightly more aggressive near-term policy easing from the major central banks. In the US, SOFR futures imply 75bp worth of easing from the Fed this year, and similarly for the ECB, which includes the 25bp cut that the Bank delivered last month. Yields also have softened in the UK. The consensus expects a second rate cut from the ECB in September, at which point markets believe Frankfurt will be joined by the BOE—with many speculating on an August cut from Bailey et al—and the Fed. The first chart below plots the implied policy path for the Fed and ECB using SOFR and Euribor, respectively. This is a pleasant picture overall. Rates will remain higher than immediately before the twin-shock of Covid and an inflationary shift geopolitics, but they’re still on track to come down some 150bp from their highs.
Read MoreI am still in a quant-mood at the moment, so today I will go through some work I’ve done on portfolio optimization with US large cap equity sectors. I am doing this to augment my current MinVar framwork, which I use for my own investments. A quick re-cap on the basics of portfolio optimization, with advance apologies to PMs reading this and lamenting that I’ve missed something. Finance has two workhorse models; the tangent portfolio, which places the investor on the efficient frontier, where risk-adjusted return—or the Sharpe ratio—is maximised. Or the minimum variance portfolio, which offers exposure to the combination of assets with the lowest variance, or standard deviation, regardless of return. These portfolios often are estimated given a set of constraints, as I explain below. Assuming most portfolio allocation decisions start with one of these ideal models in mind—you either want to achieve the best risk adjusted return or the lowest volatility—the difference between the textbook models and real-time allocations is governed by the following layers of complexity.
Read More