The Optimum Leverage Level of the Banking Sector

Banks make profits from the difference between short-term and long-term loan interest rates. To issue loans, banks raise funds from capital markets. Since the long-term loan rate is relatively stable, but short-term interest is usually variable, there is an interest rate risk. Therefore, banks need...

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Main Authors: Sagara Dewasurendra, Pedro Judice, Qiji Zhu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Risks
Subjects:
Online Access:https://www.mdpi.com/2227-9091/7/2/51
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spelling doaj-ec4479e6742e4e5d9a28f4066f7154252020-11-25T00:52:41ZengMDPI AGRisks2227-90912019-05-01725110.3390/risks7020051risks7020051The Optimum Leverage Level of the Banking SectorSagara Dewasurendra0Pedro Judice1Qiji Zhu2Department of Mathematics, Western Michigan University, Kalamazoo, MI 49008, USAISCTE Business Research Unit, Lisbon 1649-026, PortugalDepartment of Mathematics, Western Michigan University, Kalamazoo, MI 49008, USABanks make profits from the difference between short-term and long-term loan interest rates. To issue loans, banks raise funds from capital markets. Since the long-term loan rate is relatively stable, but short-term interest is usually variable, there is an interest rate risk. Therefore, banks need information about the optimal leverage strategies based on the current economic situation. Recent studies on the economic crisis by many economists showed that the crisis was due to too much leveraging by “big banks”. This leveraging turns out to be close to Kelly’s optimal point. It is known that Kelly’s strategy does not address risk adequately. We used the return−drawdown ratio and inflection point of Kelly’s cumulative return curve in a finite investment horizon to derive more conservative leverage levels. Moreover, we carried out a sensitivity analysis to determine strategies during a period of interest rates increase, which is the most important and risky period to leverage. Thus, we brought theoretical results closer to practical applications. Furthermore, by using the sensitivity analysis method, banks can change the allocation sizes to loans with different maturities to mediate the risks corresponding to different monetary policy environments. This provides bank managers flexible tools in mitigating risk.https://www.mdpi.com/2227-9091/7/2/51leverage levelgrowth optimal portfoliobalance sheet managementasset-liability managementlong-term riskinterest rate riskcredit risk
collection DOAJ
language English
format Article
sources DOAJ
author Sagara Dewasurendra
Pedro Judice
Qiji Zhu
spellingShingle Sagara Dewasurendra
Pedro Judice
Qiji Zhu
The Optimum Leverage Level of the Banking Sector
Risks
leverage level
growth optimal portfolio
balance sheet management
asset-liability management
long-term risk
interest rate risk
credit risk
author_facet Sagara Dewasurendra
Pedro Judice
Qiji Zhu
author_sort Sagara Dewasurendra
title The Optimum Leverage Level of the Banking Sector
title_short The Optimum Leverage Level of the Banking Sector
title_full The Optimum Leverage Level of the Banking Sector
title_fullStr The Optimum Leverage Level of the Banking Sector
title_full_unstemmed The Optimum Leverage Level of the Banking Sector
title_sort optimum leverage level of the banking sector
publisher MDPI AG
series Risks
issn 2227-9091
publishDate 2019-05-01
description Banks make profits from the difference between short-term and long-term loan interest rates. To issue loans, banks raise funds from capital markets. Since the long-term loan rate is relatively stable, but short-term interest is usually variable, there is an interest rate risk. Therefore, banks need information about the optimal leverage strategies based on the current economic situation. Recent studies on the economic crisis by many economists showed that the crisis was due to too much leveraging by “big banks”. This leveraging turns out to be close to Kelly’s optimal point. It is known that Kelly’s strategy does not address risk adequately. We used the return−drawdown ratio and inflection point of Kelly’s cumulative return curve in a finite investment horizon to derive more conservative leverage levels. Moreover, we carried out a sensitivity analysis to determine strategies during a period of interest rates increase, which is the most important and risky period to leverage. Thus, we brought theoretical results closer to practical applications. Furthermore, by using the sensitivity analysis method, banks can change the allocation sizes to loans with different maturities to mediate the risks corresponding to different monetary policy environments. This provides bank managers flexible tools in mitigating risk.
topic leverage level
growth optimal portfolio
balance sheet management
asset-liability management
long-term risk
interest rate risk
credit risk
url https://www.mdpi.com/2227-9091/7/2/51
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