Early warning indicator for detection of vulnerabilities of collective investment funds (FIC)

Indicador de alerta temprana para la detección de vulnerabilidades de los fondos de inversión colectiva (FIC)

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Abstract

Given the high popularity that collective investment funds (CIFs) have been gaining and their growing participation in the financial market, both in terms of the amount of investments and the number of investors, it is necessary to have tools that allow for adequate and timely identification of risks, in order to prevent an effect on the stability of the financial system. However, there is a lack of literature on early warnings for these funds, since most of the papers are focused on the banking sector. This document aims to develop an early warning indicator that allows the identification of CIF vulnerabilities, with enough time of anticipation for poli­cymakers to implement measures for their containment. In order to achieve this objective, a widely known early warning measure in the banking sector, such as the European Central Bank’s Domestic Systemic Risk Indicator (d-SRI), will be adapted to the CIF scenario in Colombia.  The results obtained show that in the event of a shock of one standard de­viation in the CIF early warning indicator (IATE FIC), a drop of 1.4 percentage points in the quarterly growth of the fund’s net value (FNV) is expected in the six months following the occurrence of the shock. The findings showed in this work represent an important advance in the detection of vulnerabilities of invest­ment funds and can be of great help to policymakers in making decisions under scenarios of uncertainty in the future behavior of the CIF industry.

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Alessi, L. y Detken, C. (2011). Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity. European Journal of Political Economy, 27(3), 520-533. https://doi.org/10.1016/j.ejpoleco.2011.01.003

Backus, D. K. y Kehoe, P. J. (1992). International evidence on the historical properties of business cycles. The American Economic Review, 82(4), 864-888. https://www. jstor.org/stable/2117348

Bussière, M. y Fratzscher, M. (2008). Low probability, high impact: Policy making and extreme events. Journal of Policy Modeling, 30(1), 111-121. https://doi.org/10.1016/j. jpolmod.2007.03.007

Consultative Document (2nd) (2015). Assessment Methodologies for Identifying Non- Bank Non-Insurer Global Systemically Important Financial Institutions Proposed High-Level Framework and Specific Methodologies.

Das, N., Kish, R. y Muething, D. (2005). Modeling Hedge Fund Returns. Financial Decisions, Article 4.

Demirgüç-Kunt, A. y Detragiache, E. (2000). Monitoring banking sector fragility: A multivariate logit approach. World Bank Economic Review, 14(2), 287-307. https:// doi.org/10.1093/wber/14.2.287

Division of Investment Management Risk and Examinations Office Risk and Exami¬nations Office (2017). Private Funds Statistics.

Federal Deposit Insurance Corporation (2016). 12 cfr Part 327 Assessments; Final Rule mstockstill on dsk3g9t082prod with rules3.

FIAFIN (n.d.). Estadísticas por País-Tipo. http://www.fiafin.org/estadistica/showPaisTipo

Fuertes, A. M. y Kalotychou, E. (2007). Optimal design of early warning systems for sovereign debt crises. International Journal of Forecasting, 23(1), 85-100. https:// doi.org/10.1016/j.ijforecast.2006.07.001

Galindo Vergara, M., Serna, O., Garcés, L., Vicente González, J., Muñoz, J. y Peláez, N. (n.d.). Reportes Fogafin Sistema de primas ajustadas por riesgo. Fogafin.

Hentati, R., Kaffel, A. y Prigent, J.-L. (2010). Dynamic versus static optimization of hedge fund portfolios: The relevance of performance measures. International Jour¬nal of Business, 15(1), 1-17. http://www.craig.csufresno.edu/IJB/Recent Pub.htm

Investment Management Quality Ratings (n.d.). https://www.fitchratings.com/research/ es/fund-asset-managers/investment-management-quality-ratings-27-05-2020

Jin, X. y Simone, F. N. (2015). Investment funds? vulnerabilities: A tail-risk dynamic cimdo approach. In bcl working papers. https://ideas.repec.org/p/bcl/bclwop/ bclwp095.html

Jordà, Ò. (2005). Estimation and inference of impulse responses by local projections. Ame-rican Economic Review, 95(1), 161-182. https://doi.org/10.1257/0002828053828518

Kaiser, D. G., Schweizer, D. y Wu, L. (2012). Efficient hedge fund strategy alloca¬tions—Systematic framework for investors that incorporates higher moments. In Financial Markets, Institutions & Instruments, 21(5), 241-260. http://onlinelibrary. wiley.com/journal/10.1111/(issn)1468-0416/issues

Koellner, T., Weber, O., Fenchel, M. y Scholz, R. (2005). Principles for sustainability rating of investment funds. Business Strategy and the Environment, 14(1), 54-70. https://doi.org/10.1002/bse.423

Lang, J. H., Izzo, C., Fahr, S. y Ruzicka, J. (2019). Occasional Paper Series Anticipating the bust: A new cyclical systemic risk indicator to assess the likelihood and severity of financial crises. Office of the European Union. https://doi.org/10.2866/468656

Leyva Rayón, E. (2015). Modelo multifactor para analizar la exposición de los hedge funds a factores de riesgo macroeconómico. Economía Teoría y Práctica, 42, 9-44. https://doi.org/10.24275/etypuam/ne/422015/leyva

Markowitz, H. M. (1959). Portfolio selection: Efficient diversification of investments. Yale University Press. http://www.jstor.org/stable/j.ctt1bh4c8hj

Ramírez, S., Jiménez, J. S. y Witmer, J. (2015). Canadian Open-End Mutual Funds: An Assessment of Potential Vulnerabilities. Bank of Canada System Review, 47-56.

Sarlin, P. (2013). On policymakers’ loss functions and the evaluation of early war¬ning systems. Economics Letters, 119(1), 1-7. https://doi.org/10.1016/j.econ¬let.2012.12.030

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48. https:// doi.org/10.2307/1912017

Swets, J. A. (1996). Signal detection theory and ROC analysis in psychology and diag-nostics: Collected papers. Lawrence Erlbaum Associates. https://books.google. com.co/books?id=1vkmaqaamaaj

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