This paper addresses three types of geographical decoupling in foreign direct investment (FDI), i.e., challenges when using traditional FDI data as a proxy for real economic integration between economies: (i) large bilateral asymmetries between inward and outward FDI, (ii) the role of special purpose entities (SPEs), and (iii) the effect of moving from immediate counterpart to ultimate investing economy (UIE). A unique global FDI network is estimated, where SPEs are removed and FDI positions are broken down by the UIE. Total inward FDI in the new network is reduced by one-third, and financial centers are less dominant.

This paper addresses three types of geographical decoupling in foreign direct investment (FDI), i.e., challenges when using traditional FDI data as a proxy for real economic integration between economies: (i) large bilateral asymmetries between inward and outward FDI, (ii) the role of special purpose entities (SPEs), and (iii) the effect of moving from immediate counterpart to ultimate investing economy (UIE). A unique global FDI network is estimated, where SPEs are removed and FDI positions are broken down by the UIE. Total inward FDI in the new network is reduced by one-third, and financial centers are less dominant.

This paper presents a novel computational method to determine the distribution of ultimate investors in bilateral FDI stock. The approach employs results from the probabilistic theory of absorbing Markov chains. The method allows for the estimation of a bilateral matrix that provides inward positions by ultimate counterparts for over 100 recipient countries, covering 95% of total FDI stock and including many developing countries. Reconstructing the global FDI network by ultimate investors enables a more accurate and complete snapshot of international production than do standalone bilateral FDI statistics. This has considerable implications for policymaking. It also provides more nuanced context to some contemporary developments such as the trade tensions between the United States, China and others, as well as Brexit.

Macro statistics on foreign direct investment (FDI) are blurred by offshore centers with enormous inward and outward investment positions. This paper uses several new data sources, both macro and micro, to estimate the global FDI network while disentangling real investment and phantom investment and allocating real investment to ultimate investor economies. We find that phantom investment into corporate shells with no substance and no real links to the local economy may account for almost 40 percent of global FDI. Ignoring phantom investment and allocating real investment to ultimate investors increases the explanatory power of standard gravity variables by around 25 percent.

This paper analyzes asymmetries in direct investment positions reported in the Coordinated Direct Investment Survey (CDIS) following a top down approach. First, it examines asymmetries at global level; second, it examines asymmetries between CDIS reported and derived data for individual economies; and third, the paper analyzes data at bilateral economy level. Then, the paper explores seven main reasons for asymmetries, including those arising even when economies follow international standards. Finally, the paper includes a section on addressing bilateral asymmetries and concludes with specific planned actions to reduce asymmetries, including initiatives led by international organizations.