Data is incomplete, theory patchy, policy experience negligible. Monetary policy then was conducted by trial and error. The same will be true of macroprudential policy now. Mistakes will be made. But as experience with the other arms of macroeconomic policy has taught us, the biggest mistake would be not to try. BIS Review 168/2010  25  Annex 1: Model proofs  Reputational probabilities: Here we motivate the conditions that . Suppose the market has prior that a banker’s ability is high. If a banker is of low ability, she achieves positive returns on loans with probability when the macro state is good, while high ability bankers achieve positive returns on loans with probability 1 when the macro state is good. When the macro state is bad, all bankers achieve zero returns. Let be the probability that the macro state is good. Let the market conjecture that under a risky policy and a bad state of the world, earnings are positive with probability , while under a risky policy and a good state of the world, earnings are positive with probability . Conditional on risky policies and observing positive earnings, the probability of being of high ability is  which is increasing in  . Similarly, under tight policies,  which is decreasing in effects. . The conditions in the text that  capture these  Equilibrium: Our model satisfies following conditions, set out in Morris and Shin (2003), viz. : Condition 1: Action Monotonicity:  is non-decreasing in .
Ravi Menon: Asia's digital transformation Remarks by Mr Ravi Menon, Managing Director of the Monetary Authority of Singapore, at the GIC Institutional Investors Roundtable, Singapore, 31 October 2018. * * * Ladies and gentlemen, good morning. I thank GIC for the invitation and am pleased to meet all of you. Why FinTech? About three-and-a-half years ago, the Monetary Authority of Singapore (MAS) made a momentous decision - to promote an innovative and dynamic financial sector by working with the industry to harness the power of technology. We saw that technology was transforming the way people live their lives, the way companies deliver products and services, and the way cities work and connect. Meanwhile, the financial industry globally was facing the headwinds of slower economic growth, tighter regulation, and keen competition from non-financial technology players. Technology presented an opportunity to inject new dynamism and new growth in financial services. It was an opportunity to increase efficiency in an industry that had some of the most archaic practices around – just think of interbank payments and settlements. It was an opportunity to manage risks better: financial institutions were pouring ever more resources into compliance and risk management – and still getting into trouble. Most of all, it was an opportunity to improve people’s lives to bring financial services to the unbanked and uninsured in Asia; to help a growing middle class plan its finances more holistically and efficiently; to help enterprises raise money, make payments, and tap new markets.