17 May, 2019
Ronald Chan, Chief Investment Officer, Equities, Asia ex-Japan

After months of apparent progress in bilateral trade talks, the US unexpectedly raised tariffs on US$200 billion of Chinese imports to 25%, effective 10 May 2019, and added a threat to place tariffs on all Chinese imports1 . The Chinese government responded by announcing 25% tariffs on US$60 billion of US imports from 1 June 20192 . The escalation in tensions between the world’s two biggest economies has left investors wondering what will come next. In this investment note, Ronald Chan, Chief Investment Officer (CIO) of Asian Equities (ex-Japan), lays out a basic roadmap to help investors understand the possible scenarios that could lead to a resolution of the current dispute.
After 11 rounds of bilateral trade talks, the US and China have (re)entered a phase of increasing tensions, shattering the calm that settled over the market when both sides agree to refrain from increasing tariffs and continue negotiation in December 2018. However, developments are still in line with our base case; we believe there will be heightened near-term volatility during the Sino-US trade negotiations, but both sides will ultimately reach an agreement and avert a global trade war.
Having acknowledged the increase in trade tensions, we believe there are several constraints on the US and China further upping the ante in the trade conflict. Importantly, additional tariffs on Chinese goods may hurt the US economy, while China’s economy is arguably in a better position than it was a year ago.
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As trade tensions have entered new territory, we believe it is important for investors to understand the implications and potential scenarios for an agreement.
While investors are understandably jittery over the latest escalation in the Sino-US trade dispute and the prospect of a global trade war, we believe our initial base-case scenario is still the most likely outcome; near-term volatility, leading ultimately to an agreement. Tariffs will certainly hurt China, but its government does have room to introduce further supportive policies that may offset the negative economic impact of a protracted trade dispute. It could, for example, target domestic drivers such as consumption, which contributed more than 70% to overall GDP growth in 20185 . Equally, the US position of strength has moderated, and the next round of tariffs is likely to hurt domestic consumers and retailers more deeply than the last. Though a deal that removes tariffs is currently the least probable outcome, we believe an agreement that preserves current tariffs and provides a framework for a future pact is more likely than an all-out trade war.
1 Source: Office of the United States Trade Representative, 10 May 2019,
2 Source: Ministry of Finance of the People’s Republic of China, 13 May 2019.
3 Source: US Bureau of Economic Analysis, as of 26 April 2019. Real gross domestic product (GDP) increased 3.2 % in the first quarter of 2019, compared with 4.2, 3.4% and 2.2% in the second, third and fourth quarter of 2018 respectively. Excluding food and energy, the PCE price index increased 1.6% in March 2019, compared with 2.0% in June, September and December 2018 respectively.
4 Source: National Bureau of Statistics of China, as of 14 May 2019. GDP increased by 6.4% in the first quarter of 2019, compared with 6.7% and 6.5% and 6.4% in the second, third and fourth quarter of 2018 respectively. The consumer price index increased by 2.5% in April 2019, compared with 1.9%, 2.5% and 1.9% in June and September and December 2018 respectively.
5 Source: National Bureau of Statistics of China, as of December 2018.
Real assets and the infrastructure behind AI
Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.
The engine behind AI: Semiconductors are fuelling the next era of technology
Semiconductors belong to one of the most specialised yet globally integrated industry chains. From design, equipment, and materials to manufacturing and commercialisation, the production of a smartphone chip alone spans many countries across continents, creating tremendous opportunities for companies, consumers, and investors. With semiconductors increasingly becoming the backbone of an artificial intelligence (AI) race few are prepared for, understanding this sector is key to unlocking where the next wave of technology competition is heading.
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When electricity first arrived, the world built the necessary infrastructure – power plants, transmission lines – before the real transformation could take hold. A similar process is happening with artificial intelligence (AI). Today's massive investment in chips, data centres, and power grids is laying the foundation for a potential expansion in AI application that could take years to develop. In our view, the discussion is increasingly shifting from whether AI adoption will continue to how the enabling infrastructure is being built. Asia appears to be playing an important role in that development.