首页> 外文OA文献 >Analisis penghitungan risiko nilai tukar atas posisi neto pt. bank haga dengan metode value atrisk (var method)
【2h】

Analisis penghitungan risiko nilai tukar atas posisi neto pt. bank haga dengan metode value atrisk (var method)

机译:在pt的净头寸上计算汇率风险的分析。价值风险法(无功法)的银行业

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

GIRI PRASETYO. The Analysis of the Exchange Rate Risk of Net Open Position for PT Bank Haga by Value at Risk Method (VaR Method). Under the direction of Marimin and Rita Nurmalina.udThe rapid and complex development of the banking sector urges an implementation of risk management not only for the credit risk but also for the market risk because of the volatility of interest rate and exchange rate that create the risk as a whole.udRisk management could be effective if there is an effort to measure the risk in order to determine total of reserved capital to cover the risk and to be the base of strategic planning on foreign exchange activity done by the bank. This topic was chosen since there was a need of the bank for a specific measurement method that could measure potential loss comprehensively specifically it is able to measure the sensitivity of potential loss of products or activity to the affected factors. The method is the Value at Risk that is used by most of bankers in measuring potential loss and capital charge that should be reserved.udIn this research, we did risk measurement on exchange rate of bank net open position. Net open position is bank open position of foreign exchange rate at specific date that could raise potential loss because of exchange rate volatility on the exchange rate transaction. The total of potential loss is affected by how big is the volatility of exchange rate and the total of bank net open position.udFrom the four methods of volatility measurement that is used in this research, only the result of percentile method that has a valid measurement value based on the process of back testing. The volatility of each measured currency is 1.85% for AUD, 1.71% for EUR, 1.41% for HKD, 1.55% for JPY, 1.18% for SGD, and 1.31% for USD. By those data of volatility, we could account for potential loss of single exchange rate (undiversified VaR) at specific date, May 4 2004 as follow: AUD (Rp9.21 millions), EUR (Rp20.33 millions), HKD (Rp2.20 millions), JPY (Rp9.78 millions), SGD (Rp7.70 millions), and USD (Rp109.76 millions).udSince there is a correlation among the change of exchange rates, we have to measure potential loss entirely (VaRp) from the net open position owned by the bank by account for correlated coefficient as the weight.udThe result of measurement of VaRp on May 4, 2004 of the total of net open position is amounted to Rp11,614 millions with the potential loss of Rp136.48 millions. This potential loss is lower than the sum of potential loss of each currency that is amounted to Rp158.98 millions. Hence, correlation of exchange rate changes among foreign currency could be used as a base in decision taking of foreign exchange portfolio diversification.udThe calculation for capital reserve in order to cover potential risk is done by using two methods that are standard method and VaR method with the result of capital charge amounted to Rp906 million and Rp 1,463 millions respectively.udTo simplify in monitoring risk exposure, it is created a Traffic Light Monitor (TLM) that is useful to see the current position of risk exposure with risk appetite limit decided by management. In this case, actions that should be taken by management for each position could be done faster.udThe result of stress testing shows that bank capital is still ready in facing extreme condition that might be happened. In the condition of stress tested, the amount of capital that should be reserved is amounted to Rp2,875.57 millions for potential loss amounted to rp259.81 millions. The number of that capital reserve is twice of total capital that should be reserved in normal condition.udThe measurement of foreign exchange rate is not only useful for banking sector but also for other industry including agribusiness sector. In agribusiness that employ foreign exchange, imbalance position between receivables and liabilities will expose foreign exchange risk that is potential loss if there is fluctuation of foreign exchange. The value of VaR could be used as a reference in managing foreign exchange asset and liabilities that is in maturity arrangement as well as in maturity payment arrangement of agribusiness product that will be sold in foreign currency. The number of potential loss could be reflected in measured VaR.udBased on this research, we propose that the measurement of potential loss is done by small working unit. For instance in banking sector, it could be done by the trading floor in treasury working unit. The result of measurement could be used as a daily transaction limit so foreign exchange could be managed better.udTo identify capital requirement in the most extreme condition like what was already experienced in 1998, we propose to do stress testing based on the scenario of foreign exchange volatility that was happened in 1998. We believe we will have a picture of capital requirement deeply.
机译:GIRI PRASETYO。通过风险价值法(VaR方法)分析PT银行Haga的净未平仓头寸的汇率风险。 ud在Marimin和Rita Nurmalina的指导下。 ud银行业的迅速而复杂的发展敦促不仅要针对信用风险,而且要针对市场风险实施风险管理,因为利率和汇率的波动会造成风险管理。 udRisk管理可能是有效的,如果要进行度量风险以确定准备金总额以覆盖风险并成为银行进行外汇活动的战略计划的基础。选择该主题是因为银行需要一种可以全面测量潜在损失的特定测量方法,特别是它能够测量产品或活动潜在损失对受影响因素的敏感性。这种方法是大多数银行家用来衡量应保留的潜在损失和资本费用的风险价值。 ud在本研究中,我们对银行净未平仓头寸的汇率进行了风险衡量。净未结头寸是指在特定日期的外汇银行未结头寸,由于汇率交易中的汇率波动,可能会增加潜在损失。潜在损失的总和受汇率波动率和银行净未平仓头寸总和的影响。 ud从本研究中使用的四种波动率测量方法中,仅百分位数方法的结果有效基于回测过程的测量值。每种测量货币的波动率分别为:澳元1.85%,欧元1.71%,港元1.41%,日元1.55%,新加坡元1.18%和美元1.31%。通过这些波动性数据,我们可以计算出特定日期(2004年5月4日)的单一汇率(未分散的VaR)的潜在损失,如下:澳元(Rp921万),欧元(Rp20.33百万),HKD(Rp2)。 2,000万),日元(Rp9.78百万),SGD(Rp7.70百万)和USD(Rp109.76百万)。 ud由于汇率变化之间存在相关性,因此我们必须完全衡量潜在损失(从银行拥有的净未平仓头寸中按相关系数作为权重。 ud2004年5月4日对净未平仓头寸总额的VaRp测量结果为Rp116.14亿,存在潜在损失Rp136.48百万。此潜在损失低于每种货币的潜在损失总和,总额为Rp158.98百万。因此,可以将外币之间汇率变动的相关性作为外汇投资组合多元化决策的基础。 ud为覆盖潜在风险而进行的资本准备金的计算采用标准方法和VaR方法两种方法进行 ud为了简化对风险敞口的监控,创建了一个交通信号灯监控器(TLM),可用于查看已确定风险承受极限的风险敞口的状况,以简化对风险敞口的监控。通过管理。在这种情况下,管理层应针对每个职位采取的行动可以更快地完成。 ud压力测试的结果表明,银行资本在面对可能发生的极端情况时仍然准备就绪。在经过压力测试的情况下,应保留的资本总额为Rp2,875.57百万,潜在损失为rp259.81百万。资本储备的数量是正常情况下应储备的总资本的两倍。 ud汇率的测量不仅对银行业有用,而且对包括农业综合企业在内的其他行业也有用。在使用外汇的农业综合企业中,应收款和负债之间的不平衡状况将暴露外汇风险,如果外汇波动,外汇风险就是潜在的损失。 VaR的价值可以用作管理以到期安排以及将以外币出售的农业综合产品的到期付款安排中的外汇资产和负债的参考。潜在损失的数量可以反映在测得的VaR中。 ud基于此研究,我们建议以较小的工作单位完成潜在损失的测量。例如,在银行部门,可以由财务工作单位的交易大厅来完成。可以将测量结果用作每日交易限额,以便更好地管理外汇。 ud为了确定最极端条件下的资金需求(例如1998年已经遇到的情况),我们建议根据国外情况进行压力测试汇率波动发生在1998年。我们相信我们会对资本需求有一个深刻的了解。

著录项

  • 作者

    Prasetyo Giri;

  • 作者单位
  • 年度 2004
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号