Morgan Stanley and Ernst & Young (EY) led the chart of mergers and acquisitions (M&A) financial advisers in the Asia-Pacific region during H1 of 2020, based on deal value and volume, respectively, according to GlobalData, a leading data and analytics company.
Morgan Stanley, which advised on 24 deals worth $25.3bn, emerged as the highest among all the advisers.
JP Morgan took the second spot by value with 14 deals worth $24.4bn. It was followed by Deloitte with 13 deals worth $16.5bn.
In terms of volume, Ernst & Young led the chart having advised on 32 deals worth $2.7bn.
Morgan Stanley took the second spot by volume, followed by Nomura with 22 deals worth $9.6bn.
GlobalData financial deals analyst Aurojyoti Bose said: “Morgan Stanley, apart from leading in value terms, also fared well in volume terms. In contrast, Ernst & Young, despite leading in volume terms, failed to make it to the list of top 10 advisers by value due to its involvement mostly in low-value transactions.
“Interestingly, advisers such as Quant Group and ANZ also featured in the list of top 10 advisers by value, despite advising on one deal each.”
Deal landscape of Asia-Pacific in H1 2020
Deal activity in Asia-Pacific region was resilient compared to other regions during the Covid-19 hit the first half of 2020. The count of deals announced in the region year-on-year grew by 11.3% from 5,640 in H1 2019 to 6,278 in H1 2020, according to GlobalData’s Financial Deals Database. Deal value also grew by 4.1% from $255.9bn in H1 2019 to $266.4bn in H1 2020.
Morgan Stanley, which led the chart of the Asia-Pacific deals league table by value, stood at third position (by value) in the recently released global league table of top 20 M&A financial advisers by GlobalData. Similarly, Ernst & Young, which topped the Asia-Pacific league table by volume, also occupied the top position (by volume) in the global league table.
To ensure further robustness to the data, the company also seeks submissions from leading advisers, through adviser submission forms on GlobalData’s website