Mr. Ghiath Shabsigh, Mr. Tanai Khiaonarong, and Mr. Harry Leinonen
Major transformations in payment and settlements have occurred in generations. The first generation was paper-based. Delivery times for payment instruments took several days domestically and weeks internationally. The second generation involved computerization with batch processing. Links between payment systems were made through manual or file-based interfaces. The change-over period between technologies was long and still some paper-based instruments like checks and cash remain in use. The third generation, which has been emerging, involves electronic and mobile payment schemes that enable integrated, immediate, and end-to-end payment and settlement transfers. For example, real-time gross settlement systems have been available in almost all countries. DLT has been viewed as a potential platform for the next generation of payment systems, enhancing the integration and the reconciliation of settlement accounts and their ledgers. So far, experiments with DLT experimentations point to the potential for financial infrastructures to move towards real-time settlement, flatter structures, continuous operations, and global reach. Testing in large-value payments and securities settlement systems have partly demonstrated the technical feasibility of DLT for this new environment. The projects examined analyzed issues associated with operational capacity, resiliency, liquidity savings, settlement finality, and privacy. DLT-based solutions can also facilitate delivery versus payment of securities, payment versus payment of foreign exchange transactions, and efficient cross-border payments.
Cyber risk has emerged as a key threat to financial stability, following recent attacks on financial institutions. This paper presents a novel documentation of cyber risk around the world for financial institutions by analyzing the different types of cyber incidents (data breaches, fraud and business disruption) and identifying patterns using a variety of datasets. The other novel contribution that is outlined is a quantitative framework to assess cyber risk for the financial sector. The framework draws on a standard VaR type framework used to assess various types of stability risk and can be easily applied at the individual country level. The framework is applied in this paper to the available cross-country data and yields illustrative aggregated losses for the financial sector in the sample across a variety of scenarios ranging from 10 to 30 percent of net income.
This paper revisits the relative importance of global versus country-specific factors underlying stock returns. It constructs a new firm level data set covering emerging and developed markets and estimates a simple factor model, which breaks down stock returns into a global business cycle factor, global industry factors, country-specific factors and firm-level effects. The results indicate that the share of variation in stock returns explained by global industry factors has grown sharply since the mid-1990s, at the expense of country-specific factors. Foremost among the global factors is a “new economy” factor, which has become a key determinant of global stock returns.