The long-term interest rates correlations: a new indicator predicting recession

2016 ◽  
Vol 20 (3) ◽  
pp. 259-280
Author(s):  
Ki-Ryoung Lee ◽  
Chan-Ik Jo ◽  
Hyung-Geun Kim
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Time Difference ◽  
Time Varying ◽  
Trade Integration ◽  
Probit Regression ◽  
Content Type ◽  
The Usa ◽  
Conditional Correlations

Purpose Existing research has theoretically modeled conditional correlations between the long-term interest rates as a function of macroeconomic variable. In line with it, the purpose of this paper is to explore whether conditional correlations can be a new signal to predict recessions. Furthermore, this paper also tries to investigate among the four factors – the time difference of the beginning and the end of recessions, financial integration (FI), and trade integration (TI) – which factors drive the direction of change in conditional correlations. Finally, this paper is to explain the implication for Korea trade. Design/methodology/approach This study uses a probit regression model for 33 country during the period from 1972 to 2015. To measure the time-varying interest rates conditional correlations, a VAR(1)-DBEKK-GARCH(1,1) model is adopted due to its statistical advantages. Furthermore, the authors also construct the four measures – time difference of the beginning of recessions (BEG), time difference of the end of recessions (END), FI, and TI. The authors first study the predictive power of correlations in both in and out-samples test, and study which factors determine the different behavior of interest rate co-movements using the four measures. Findings The empirical results show that the conditional correlations between the long-term interest rates of the USA and individual countries contain information about recessions a few quarters ahead which term spreads of neither individual countries nor the USA conveyed in. However, there is a heterogeneity of the significance and direction of interest rate correlations. A further research reveals that especially the heterogeneous degree of TI leads to the different overlapped recession period of individual countries with the USA, resulting in heterogeneous behavior of interest rates among countries. Research limitations/implications As a limitation of this paper, the forecasting power of interest rate correlations is not always significant in all countries. Despite this, the study has a profound implication that for those countries where the US accounts for the high proportion of trade, increase in conditional correlations can be a signal for future recessions. Especially, given a considerable portion of trade in GDP and the more sensitive trade activity of Korea to a contagious recession than a domestic recession, the conditional correlation measure is particularly useful for Korean policy makers. Originality/value Although many papers model interest rate co-movement as a function of macroeconomic condition, this paper provides the first evidence to show interest rate co-movement precede the macro shocks empirically. Furthermore, this paper determines the precise channel through which TI affects the time-varying behavior of interest rate co-movements before recessions.

How loan interest rate liberalization affects firms’ loan maturity structure

2014 ◽  
Vol 4 (2) ◽  
pp. 153-167 ◽  
Author(s):  
Jianfang Zhou ◽  
Jingjing Wang ◽  
Jianping Ding
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Manufacturing Companies ◽  
Short Term ◽  
Data Set ◽  
Content Type ◽  
Interest Rate Liberalization ◽  
Upper Limit ◽  
Maturity Structure

Purpose – After loan interest rate upper limit deregulation in October 2004, the financing environment in China changed dramatically, and the banks were eligible for risk compensation. The purpose of this paper is to focus on the influence of the loan interest rate liberalization on firms’ loan maturity structure. Design/methodology/approach – Based on Rajan's (1992) model, the authors constructed a trade-off model of how the banks choose long-term and short-term loans scales, and further analyzed banks’ loan term decisions under the loan interest rate upper limit deregulation or collateral cases. Then the authors used an unbalanced panel data set of 586 Chinese listed manufacturing companies and 9,376 observations during the period 1996-2011 to testify the theoretical conclusion. Furthermore, the authors studied the effect on firms with different characteristics of ownership or scale. Findings – The results show that the loan interest rate liberalization significantly decreases the private companies’ reliance on short-term loans and increases sensitivity to interest rates of state-owned companies’ long-term loans. But the results also show that the companies’ ownership still plays a key role on the long-term loans availability. When monetary policy tightened, small companies still have to borrow short-term loans for long-term purposes. As the bank industry is still dominated by state-owned banks and the deposit interest rate has upper limits, the effect of the loan interest rate liberalization on easing long-term credit constraints is limited. Originality/value – From a new perspective, the content and findings of this paper contribute to the study of the effect of the interest rate liberalization on China economy.

scholarly journals Impacts of inflation on gold price and exchange rate in Vietnam: time-varying vs fixed coefficient cointegrations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pham Dinh Long ◽  
Bui Quang Hien ◽  
Pham Thi Bich Ngoc
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Gold Price ◽  
Time Varying ◽  
Coefficient Estimates ◽  
Content Type ◽  
Exchange Rate Fluctuations ◽  
The Impact ◽  
Shed Light

PurposeThe paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.Design/methodology/approachUsing cointegration techniques with fixed coefficient and time-varying coefficient, the study exams the impacts of inflation in models and compares the results through coefficient estimates.FindingsA significant inflation impacts are found with the time-varying cointegration but not with the fixed coefficient cointegration models. Moreover, monetary policy affects exchange rate not only directly via its instruments as money supply and interest rate but indirectly via inflation. Also, interest rate is one of the determinants of gold price.Originality/valueTo the best of our knowledge, this paper is the first to use time-varying cointegration to analyze the impact of inflation on the gold price and exchange rate in Vietnam. Gold price and exchange rate fluctuations are always the essential and striking issues, which have been emphasized by economists and policymakers. In macroeconometric researches, cointegration models are often used to analyze the long-term relations between variables. Attentionally, applied models show a limitation when estimating coefficients are fixed. This characteristic might not really match with the data properties and the variation of the economy. Currently, time-varying cointegration models are emerging method to solve the above issue.

Dynamic lag structure of deposits and loans interest rates and business cycles formation

2017 ◽  
Vol 25 (2) ◽  
pp. 114-132
Author(s):  
Bijan Bidabad ◽  
Abul Hassan
Keyword(s):  
Interest Rate ◽  
Business Cycles ◽  
Interest Rates ◽  
Banking System ◽  
Real Economy ◽  
Short Term ◽  
Structural Dynamic ◽  
Content Type ◽  
The Real

Purpose This paper aims to study the structural dynamic behaviour of the depositors, banks and investors and the role of banks in the business cycles. The authors test the hypothesis: do banks’ behaviour make oscillations in the economy via interest rate? Design/methodology/approach The authors dichotomized banking activities into two markets: deposit and loan. The first market forms deposit interest rate, and the second market forms credit interest rate. The authors show that these two types of interest rates have non-synchronized structures, and that is why money sector fluctuation starts. As a result, the fluctuation is transferred to the real economy through saving and investment functions. Findings The empirical results show that in the USA, the banking system creates fluctuations in money and real economy, as well as through interest rates. Short-term interest rates had complex roots in their characteristic, while medium and long-term interest rates, though they were second-order difference equations, had real characteristic roots. However, short-term interest rates are the source of oscillation and form the business cycles. Research limitations/implications The authors tested the hypothesis for USA economy, while it needs to be tested for other economies as well. Practical implications The results show that though the source of fluctuations in the real economy comes from short-term interest rates, medium- and long-term interest rates dampen real economy fluctuations and also work as economic stabilisers. Originality/value Regarding the applied method, the topic is new.

Financial market determinants of the real cost of funds to public corporations in the US

2016 ◽  
Vol 8 (1) ◽  
pp. 2-12 ◽  
Author(s):  
Richard J. Cebula ◽  
Fabrizio Rossi ◽  
Fiorentina Dajci ◽  
Maggie Foley
Keyword(s):  
Interest Rate ◽  
Real Interest Rate ◽  
Budget Deficit ◽  
Corporate Bonds ◽  
Capital Inflows ◽  
Monetary Base ◽  
Content Type ◽  
Ex Post ◽  
The Usa

Purpose The purpose of this study is to provide new empirical evidence on the impact of a variety of financial market forces on the ex post real cost of funds to corporations, namely, the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA. The study is couched within an open-economy loanable funds model, and it adopts annual data for the period 1973-2013, so that the results are current while being applicable only for the post-Bretton Woods era. The auto-regressive two-stage least squares (2SLS) and generalized method of moments (GMM) estimations reveal that the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA was an increasing function of the ex post real interest rate yields on six-month Treasury bills, seven-year Treasury notes, high-grade municipal bonds and the Moody’s BAA-rated corporate bonds, while being a decreasing function of the monetary base as a per cent of gross domestic product (GDP) and net financial capital inflows as a per cent of GDP. Finally, additional estimates reveal that the higher the budget deficit as a per cent of GDP, the higher the ex post real interest rate on AAA-rated long-term corporate bonds. Design/methodology/approach After developing an initial open-economy loanable funds model, the empirical dimension of the study involves auto-regressive, two-stage least squares and GMM estimates. The model is then expanded to include the federal budget deficit, and new AR/2SLS and GMM estimates are provided. Findings The AR/2SLS and GMM (generalized method of moments) estimations reveal that the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA was an increasing function of the ex post real interest rate yields on six-month Treasury bills, seven-year Treasury notes, high-grade municipal bonds and the Moody’s BAA-rated corporate bonds, while being a decreasing function of the monetary base as a per cent of GDP and net financial capital inflows as a per cent of GDP. Finally, additional estimates reveal that the higher the budget deficit as a per cent of GDP, the higher the ex post real interest rate on AAA-rated long -term corporate bonds. Originality/value The author is unaware of a study that adopts this particular set of real interest rates along with net capital inflows and the monetary base as a per cent of GDP and net capital inflows. Also, the data run through 2013. There have been only studies of deficits and real interest rates in the past few years.

Digital currencies enhance 21st century monetary tools

2019 ◽  
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Central Banks ◽  
Content Type ◽  
The Public ◽  
Digital Currency ◽  
Advanced Economies ◽  
Severe Recession

Subject From fiat to digital currencies. Significance With the use of cash dwindling in the advanced economies, central banks are losing their only direct monetary connection to the public. At the same time, monetary policy could face meaningful limits in stimulating growth if a severe recession strikes the advanced economies as policy interest rates are already close to zero. Impacts Tech advances, combined with downgraded long-term growth, price and interest rate forecasts, draw attention to new monetary policy tools. Central bank digital currencies would have a central custodian to coordinate them, overcoming a key ‘stateless’ cryptocurrency weakness. A digital currency gives central banks a way to reflate the economy and support certain households, but there may be political obstacles.

scholarly journals CANDIDE et la monnaie

2009 ◽  
Vol 52 (1) ◽  
pp. 75-103
Author(s):  
Jean-Pierre Aubry ◽  
Pierre Duguay
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Structural Equations ◽  
Reduced Form ◽  
Real Sector ◽  
Short Term ◽  
The Real ◽  
Structure Equations

Abstract In this paper we deal with the financial sector of CANDIDE 1.1. We are concerned with the determination of the short-term interest rate, the term structure equations, and the channels through which monetary policy influences the real sector. The short-term rate is determined by a straightforward application of Keynesian liquidity preference theory. A serious problem arises from the directly estimated reduced form equation, which implies that the demand for high powered money, but not the demand for actual deposits, is a stable function of income and interest rates. The structural equations imply the opposite. In the term structure equations, allowance is made for the smaller variance of the long-term rates, but insufficient explanation is given for their sharper upward trend. This leads to an overstatement of the significance of the U.S. long-term rate that must perform the explanatory role. Moreover a strong structural hierarchy, by which the long Canada rate wags the industrial rate, is imposed without prior testing. In CANDIDE two channels of monetary influence are recognized: the costs of capital and the availability of credit. They affect the business fixed investment and housing sectors. The potential of the personal consumption sector is not recognized, the wealth and real balance effects are bypassed, the credit availability proxy is incorrect, the interest rate used in the real sector is nominal rather than real, and the specification of the housing sector is dubious.

Tornadoes, poverty and race in the USA: A five-decade analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Russ D. Kashian ◽  
Tracy Buchman ◽  
Robert Drago
Keyword(s):  
African American ◽  
African Americans ◽  
Study Finding ◽  
Median Income ◽  
Content Type ◽  
Vulnerable Communities ◽  
Long Run ◽  
Level Data ◽  
The Usa

PurposeThe study aims to analyze the roles of poverty and African American status in terms of vulnerability to tornado damages and barriers to recovery afterward.Design/methodology/approachUsing five decades of county-level data on tornadoes, the authors test whether economic damages from tornadoes are correlated with vulnerability (proxied by poverty and African American status) and wealth (proxied by median income and educational attainment), controlling for tornado risk. A multinomial logistic difference-in-difference (DID) estimator is used to analyze long-run effects of tornadoes in terms of displacement (reduced proportions of the poor and African Americans), abandonment (increased proportions of those groups) and neither or both.FindingsControlling for tornado risk, poverty and African American status are linked to greater tornado damages, as is wealth. Absent tornadoes, displacement and abandonment are both more likely to occur in urban settings and communities with high levels of vulnerability, while abandonment is more likely to occur in wealthy communities, consistent with on-going forces of segregation. Tornado damages significantly increase abandonment in vulnerable communities, thereby increasing the prevalence of poor African Americans in those communities. Therefore, the authors conclude that tornadoes contribute to on-going processes generating inequality by poverty/race.Originality/valueThe current paper is the first study connecting tornado damages to race and poverty. It is also the first study finding that tornadoes contribute to long-term processes of segregation and inequality.

Volatility integration of gold and crude oil prices with the interest rates in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailesh Rastogi ◽  
Adesh Doifode ◽  
Jagjeevan Kanoujiya ◽  
Satyendra Pratap Singh
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Interest Rates ◽  
Global Economy ◽  
Spillover Effect ◽  
Price Volatility ◽  
Volatility Spillover ◽  
Content Type ◽  
Crude Oil Prices ◽  
The Impact

PurposeCrude oil, gold and interest rates are some of the key indicators of the health of domestic as well as global economy. The purpose of the study is to find the shock volatility and price volatility effects of gold and crude oil market on interest rates in India.Design/methodology/approachThis study finds the mutual and directional association of the volatility of gold, crude oil and interest rates in India. The bi-variate GARCH models (Diagonal VEC GARCH and BEKK GARCH) are applied on the sample data of gold price, crude oil price and yield (interest rate) gathered from November 30, 2015 to November 16, 2020 (weekly basis) to investigate the volatility association including the volatility spillover effect in the three markets.FindingsThe main findings of the study focus on having a long-term conditional correlation between gold and interest rates, but there is no evidence of volatility spillover from gold and crude oil on the interest rates. The findings of the study are of great importance especially to the policymakers, as they state that the fluctuations in prices of gold and crude oil do not adversely impact the interest rates in India. Therefore, the fluctuations in prices of gold and crude may generally impact the economy, but it has nothing to do with interest rate in particular. This implies that domestic and foreign investments in the country will not be affected by gold and crude oil that are largely driven by interest rates in the country.Practical implicationsGold and crude oil are two very important commodities that have their importance not only for domestic affairs but also for international business. They veritably influence the economy including forex exchange for any nation. In addition to this, the researchers believe the findings will provide insights to policymakers, stakeholders and investors.Originality/valueGold and crude oil undoubtedly influence the exchange rates but their impact on the interest rates in an economy is not definite and remains ambiguous owing to the mixed findings of the studies. The lack of studies related to the impact of gold and crude oil on the interest rates, despite them being essentials for the health of any economy is the main motivation of this study. This study is novel as it investigates the volatility impact of crude oil and gold on interest rates and contributes to the existing literature with its findings.

Modeling debt choice in agriculture: the effect of endogenous asset values

2017 ◽  
Vol 77 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Maria Bampasidou ◽  
Ashok K. Mishra ◽  
Charles B. Moss
Keyword(s):  
Panel Data ◽  
Interest Rate ◽  
Agricultural Sector ◽  
Macroeconomic Policy ◽  
Rate Of Return ◽  
Data Set ◽  
Content Type ◽  
Asset Values ◽  
The Usa ◽  
Non Parametric

Purpose The purpose of this paper is to investigate the endogeneity of asset values and how it relates to farm financial stress in US agriculture. The authors conceptualize an implied measure of farm financial stress as a function of debt position. The authors posit that there are variations in the asset values that are beyond the farmer’s control and therefore have implications on farm debt. Design/methodology/approach The framework recognizes the endogeneity of return on assets (ROA). It uses a non-parametric technique to approximate the variance of expected ROA (VEROA). The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Further, the authors use a dynamic balanced panel data set from 1960 to 2011 for 15 US agricultural states from the Agricultural Resource Management Survey, and information from traditional state-level financial statements. Findings Estimation of linear dynamic debt panel data models accounting for the endogeneity of ROA and VEROA is a challenging task. Estimated variances are unstable. Hence, the authors focus on variance specification that uses the residuals squared from the ARIMA specification and non-parametric estimators. Arellano-Bover/Blundell-Bond generalized method of moments estimation procedures, although may be biased, show that VEROA has a negative and significant effect on the total amount of debt in the agricultural sector. Research limitations/implications The instruments used in this analysis are lagged regressors which may be weakly correlated with the relevant first-order condition, hence not properly identifying the parameters of interest. Future research could include the identification of better instruments, potentially use of sequential moment conditions. Originality/value Unlike previous study, the authors use non-parametric approximation of VEROA. The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Second, the authors make use of a large dynamic balanced panel data set from 1960 to 2011 for 15 agricultural states in the USA. To the best of the authors’ knowledge, this study is one of the few that provides evidence on risk-balancing behavior at the agricultural sector level, of the USA.

scholarly journals Digital curation: the development of a discipline within information science

2018 ◽  
Vol 74 (6) ◽  
pp. 1318-1338 ◽  
Author(s):  
Sarah Higgins
Keyword(s):  
Information Science ◽  
Theoretical Models ◽  
Digital Information ◽  
Content Type ◽  
Digital Curation ◽  
The Usa ◽  
The Uk ◽  
Financial Ecology

Purpose Digital curation addresses the technical, administrative and financial ecology required to ensure that digital information remains accessible and usable over the long term. The purpose of this paper is to trace digital curation’s disciplinary emergence and examine its position within the information sciences domain in terms of theoretical principles, using a case study of developments in the UK and the USA. Design/methodology/approach Theoretical principles regarding disciplinary development and the identity of information science as a discipline are applied to a case study of the development of digital curation in the UK and the USA to identify the maturity of digital curation and its position in the information science gamut. Findings Digital curation is identified as a mature discipline which is a sub-meta-discipline of information science. As such digital curation has reach across all disciplines and sub-disciplines of information science and has the potential to become the overarching paradigm. Practical implications These findings could influence digital curation’s development from applied discipline to profession within both its educational and professional domains. Originality/value The disciplinary development of digital curation within dominant theoretical models has not hitherto been articulated.

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