Demand for money under low interest rates in Japan

Kurihara, Yutaka

doi:10.18533/jefs.v4i04.247

Cited by 4 publications

(4 citation statements)

References 29 publications

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“…As an immediate implication of the random walks exchange rates, Alvarez, Atkeson, and Kehoe (2006) indicate that the key cause of nominal interest rate differentials on currencydenominated bonds is time-varying risk. Using Japanese experience with deflation over last two decades, Kurihara (2016) provides strong evidence that interest rates and consumer prices have not affected demand for money, due to the using quantitative easing policy changed the demand function for money. Kwark (2002) studies the relation between the default risk and interest rate spread and it causes business cycle in a general equilibrium model.…”

Section: Literature On Other Explanatory Factorsmentioning

confidence: 99%

Determinants of Real Interest Rates: The Case of Jordan Long-Fei

Ajlouni¹

2018

JAFEB

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The study is aimed at investigating the main factors that affect the interest rate yields, in the long-term. In addition, the study surveys the theories and literature relating to the determinants of interest rate. The importance of which is essential not only for governments, but also for banks and corporate financial risk management decisions, including risk exposures in banks and capital markets. Interest rate influences corporate profit as well as growth. For this purpose, the study examines the impact of budget deficit, risk-free rate, capital inflows, money supply and business cycles on real interest rate in Jordan. These factors are based upon well-established theories and straightforward practical view as interest rate determinants. Using data for , the study employed Johansen's co-integrating test, which takes into consideration the long-term unsynchronized relationships. The data is tested for normality, symmetric correlations, covariance diagonal and unit root. The results show that the government budget deficit, short-term risk-free interest rate, capital inflows, money supply and business cycle are long-term determinants of the real interest rate in Jordan. The coefficients of government budget deficit, short-term risk-free rate, money supply and business cycle all are inversely affecting the real interest rate, while capital inflows has a positive impact on the real interest rate.

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Section: Literature On Other Explanatory Factorsmentioning

confidence: 99%

Determinants of Real Interest Rates: The Case of Jordan Long-Fei

Ajlouni¹

2018

JAFEB

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“…3 These terms refer to the identifiers used in the address system in Korea, similar to street names and house numbers in Western address systems. 4 In South Korea, this denotes a distinctive rental system in which a large lump sum deposit is made in lieu of monthly rent.…”

Section: Raw Datamentioning

confidence: 99%

“…The dynamics of housing prices are influenced by a myriad of factors, one of which is the prevailing financial climate [1][2][3][4][5][6]. Among various indicators representing the financial health of an economy, the policy rate emerges as a pivotal gauge reflecting a nation's monetary policy and the broader economic sentiment.…”

Section: Interplay Between Housing Prices and Financial Market Dynamicsmentioning

confidence: 99%

“…It is notably susceptible to an array of determinants such as overarching economic health, fluctuating interest rates, consumer demand, and shifts in government policies. As such, the condition of the housing market can be interpreted as a barometer of a country's economic vitality, with a robust housing market often signaling a prosperous economy and a frail one suggesting impending economic downturn [2,[4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Social Overhead Capital Facilities on Housing Prices Using Machine Learning

Paik,

Baek,

Kim

et al. 2023

Applied Sciences

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The South Korean residential real estate market is influenced by both the traditional dynamics of demand and supply and external factors such as housing policies and macroeconomic conditions. Considering the proportion of housing assets in individual wealth, market fluctuations can have significant implications. While previous studies have utilized variables such as GDP growth rate, patent issuance, and birth rate, and employed models such as LSTM and ARIMA for housing price predictions, many have overlooked the influence of local factors. In particular, there has been insufficient investigation into the impact of subway stations and living social overhead capital facilities on housing prices, especially in metropolitan areas. This study seeks to bridge this gap by analyzing the usage trends of subway stations, evaluating the impact of living social overhead capital facilities on housing values, and deriving the optimal machine learning model for price predictions near subway stations. We compared and analyzed a total of eight machine learning regression models, including Linear Regression, Decision Tree, Random Forest, LightGBM, Ridge, Lasso, Elastic Net, and XGBoost, all of which are popular regression models, especially in the context of machine learning and data science. Through comparative analysis of these machine learning techniques, we aim to provide insights for more rational housing price determinations, thereby promoting stability in the real estate market.

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Monetary policy uncertainties and demand for money for Japan: Nonlinear ARDL approach

Ongan

Göçer

2019

Journal of the Asia Pacific Economy

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Demand for money under low interest rates in Japan

Cited by 4 publications

References 29 publications

Determinants of Real Interest Rates: The Case of Jordan Long-Fei

Determinants of Real Interest Rates: The Case of Jordan Long-Fei

Influence of Social Overhead Capital Facilities on Housing Prices Using Machine Learning

Monetary policy uncertainties and demand for money for Japan: Nonlinear ARDL approach

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