We define the concept of "trust asymmetry" as a form of metric entropy (e.g. Kolmogorov Entropy) which can be described in terms of the shape of a data space, and, the dynamics of vector fields.
At the theoretical side, one of the problems with the information asymmetry literature in economics is that rarely formal methods are offered to actually quantify the degree information asymmetry; this is in part because of methodological challenges for real-time behavioral economics data collection. Distributed ledger systems offer a distinct opportunity to overcome this issue, and actually, correlate financial and non-transactional data flows.  
The paper will begin with a layman's introduction to behavioral traits of the trust-based decisions in the periphery of a trust-less financial system and will continue to define formal heuristics to measure trust-asymmetries using methods from several disciplines. From computational trust, behavioral finance and applied quantitative analysis we use trust evidence from blockchain, financial, and web analytics, as the experience based input of the direct interaction of the market participants. We also apply topology and symbolic regression to investigate the structure and shape of the data (information flows), as an input to the system dynamics and vector fields modeling.  In the conclusions, we discuss the implications of this research to applications such as prediction markets.   
Ultimately, we will be able to answer questions such as: are the nodes running blockchain software essentially a material expression of people’s beliefs? Particularly, is the “belief consensus” the fundamental source of intrinsic value that can be measured by intangible attention flows and tangible transactional activity?

Trade finance

Trade between Latin America and Africa with India and China is set to grow \cite{2014}. But as those who operate a new small business in Latin America or Africa know, the traditional banking system is a major roadblock to their growth ambitions. Trade finance, or even business banking accounts, are difficult to access.