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A Conceptual Design of “What and How Should a Proper Macro-Prudential Policy Framework Be?” A Globalistic Approach to Systemic Risk and Procuring the Data Needed

Cakir, Murat (2016): A Conceptual Design of “What and How Should a Proper Macro-Prudential Policy Framework Be?” A Globalistic Approach to Systemic Risk and Procuring the Data Needed.

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During the last half-decade, the 2007 global crisis has kept all interested parties busy urging them to focus on the causes of this crisis, to find solutions for recovery, and to contrive to be capable of projecting potential ones that may happen in the future. As one of the precautionary tool-sets devised for the authorities among others the classical macro-prudential and systemic risk models focused on banks and sought for the systemically important ones. A handful of interest groups argued this sort of approach to risk embedded in a network structure was both unbalanced condoning potential plausible sources of risk to monitor passively as well as take policy actions pro-actively and further was undue in remedying possible causes. A more macro stance towards the conventional macro-prudential paradigms considering micro elements of the system was seen as vital. I attempt to draw an extended framework that would span all potential incumbents forming part of the Circular Flow of Income (CFI), which is treated as a network or a bijective counter-party mapping of incumbent groups of different sources having claims against the funds granted to other incumbents. Availability of data would be a focal point for the operability of a model as such, being a central question. The necessary data is really scarce, but that doesn’t abstain one from devising usable designs, to improve public welfare. In reality, the data is available for a different variety of incumbent groups at different levels of congruity, but unfortunately sparsely distributed among different collectors and users. Still, there is data that can be used for empirical analysis purposes but needs a considerable extent of effort to collect and make use of. We propose a simple methodology on how to use the data on the extended framework, -tipping on another study- a data procural system shortly, and provide an in-exhaustive list of potential features that can be used for our extended model at the end. There will be no issue of identification neither of risks from a particular source, nor of policy recommendations since they are out of the scope of the current work. Still, one should bear in mind that though this other stream of work of ours employs any kind of analytical methodology that’d fit a particular context a general balance sheet, and the valuation of sub-portfolios at risk are the main architectural frame that shapes our analytical basis.

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