The impact of interest rate volatility on financial market inclusion: evidence from emerging markets

2017 ◽  
Vol 42 (2) ◽  
pp. 352-368 ◽  
Author(s):  
Massomeh Hajilee ◽  
Farhang Niroomand
Keyword(s):  
Interest Rate ◽  
Emerging Markets ◽  
Financial Market ◽  
Interest Rate Volatility ◽  
The Impact

scholarly journals Time-Consistent Investment and Reinsurance Strategies for Mean-Variance Insurers under Stochastic Interest Rate and Stochastic Volatility

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2183
Author(s):  
Jiaqi Zhu ◽  
Shenghong Li
Keyword(s):  
Interest Rate ◽  
Stochastic Volatility ◽  
Financial Market ◽  
Equilibrium Strategy ◽  
Stochastic Interest Rate ◽  
Programming Approach ◽  
Model Parameters ◽  
Stochastic Interest ◽  
The Impact ◽  
Mean Variance

This paper studies the time-consistent optimal investment and reinsurance problem for mean-variance insurers when considering both stochastic interest rate and stochastic volatility in the financial market. The insurers are allowed to transfer insurance risk by proportional reinsurance or acquiring new business, and the jump-diffusion process models the surplus process. The financial market consists of a risk-free asset, a bond, and a stock modelled by Heston’s stochastic volatility model. Interest rate in the market is modelled by the Vasicek model. By using extended dynamic programming approach, we explicitly derive equilibrium reinsurance-investment strategies and value functions. In addition, we provide and prove a verification theorem and then prove the solution we get satisfies it. Moreover, sensitive analysis is given to show the impact of several model parameters on equilibrium strategy and the efficient frontier.

Identifying asymmetric responses of sectoral equities to oil price shocks in a NARDL model

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Abderrazak Dhaoui ◽  
Julien Chevallier ◽  
Feng Ma
Keyword(s):  
Interest Rate ◽  
Financial Market ◽  
Oil Prices ◽  
Oil Price ◽  
Policy Implications ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Asymmetric Responses ◽  
The Impact ◽  
Nardl Model

AbstractThis study examines the asymmetric responses of sector stock indices returns to positive and negative fluctuations in oil prices using the NARDL model. Our empirical findings support indirect transmissions of oil price fluctuation to the financial market through industrial production and short-term interest rate. Furthermore, both direct and indirect impacts of oil price shocks on stock returns are sector dependent. These results are with substantial policy implications either for investors or for policymakers. They mainly help government authorities to reduce the instability in financial markets caused by the major oil price shocks. The analysis of the impact of oil price shocks on stock markets also helps the financial market participants to adjust their decisions and revise their coverage of energy policy that is substantially affected by the turbulence and uncertainty in the crude oil market. Finally, based on the forecast of the oil price shocks effects, the central bank should adjust the interest rate in order to face up to the inflation rate induced by oil prices since oil prices act as an inflationary factor.

scholarly journals QUARTERLY ANALYSIS: The Progress of Monetary, Banking and Payment System Quarter III - 2011

2012 ◽  
Vol 14 (2) ◽  
pp. 103-105
Author(s):  
Author Team of Quarterly Report Bank Indonesia
Keyword(s):  
Interest Rate ◽  
Financial Market ◽  
Economic Performance ◽  
Negative Impact ◽  
The Other ◽  
Inflation Target ◽  
Inflation Expectation ◽  
Slowing Down ◽  
The Interest Rate ◽  
The Impact

The Board of Governor Meeting of Bank Indonesia on October 11, 2011 decided to lower the BI rate by 25 bps to the level of 6.5%. Bank Indonesia will also maintain the stabilization of Rupiah particularly from the impact of global financial market shock. The decision is in line with the inflation expectation of below 5% on current and next year. Furthermore, these policies are meant to anticipate and to mitigate the negative impact of the global economic and financial slowdown on Indonesian economy. Looking ahead, the Board of Governor will continue to evaluate the global economic and financial performance and use the interest rate as well as the mix of monetary and the other micro prudential policies to mitigate the possible slowing down of Indonesian economic performance, especially on achieving the inflation target of 5% + 1% in 2011 and 4.5% + 1% in 2012.

Evidence of customer sophistication behaviour in deposit markets: the case of Qatar

2020 ◽  
Vol 47 (5) ◽  
pp. 1181-1196
Author(s):  
Noura Abu Asab
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Banking Industry ◽  
Positive Impact ◽  
Monetary Shocks ◽  
Content Type ◽  
Interest Rate Volatility ◽  
Pass Through ◽  
The Interest Rate ◽  
The Impact

PurposeThe paper investigates the interest rate policy transmission mechanism and the role of market structure of the banking industry in Qatar.Design/methodology/approachCompetitiveness indexes are used to measure the degree of market power in the banking industry in Qatar. The momentum threshold autoregressive model is applied over the monthly period from January 2005 to June 2018 to examine the magnitude of intermediation and adjustment to disequilibria in the deposit market. In addition, to model interest rate volatility and overcome the problem of heteroscedastic errors in the error correction standard models, an asymmetric EC-EGARCH-M model is applied.FindingsThe findings suggest incomplete pass-through and asymmetric response to monetary shocks. The asymmetric adjustment mechanism is found to be downward rigid which suggests a high degree of customer sophistication and an elastic supply of deposits. The results of the EC-EGARCH-M show that the impact of monetary policy shocks has a significant positive impact on deposit interest rates and that negative monetary shocks trigger more conditional interest rate volatility in the next period than positive monetary shocks for a short maturity rate.Originality/valueThe paper is the first to highlight the behaviour of the interest rate pass through channel and measures the degree of competitiveness of the banking industry for the case of a small, rich country. In addition, using recent data, the paper applies different econometric methodologies and overcomes the problem of heteroskedastic errors by modelling the interest rate volatility using the EC-EGARCH-M model.

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