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.

Impact of federal budget deficits on the ex ante real interest rate yield on Moody’s Baa-rated long-term corporate bonds, 1960-2015

2017 ◽  
Vol 9 (02) ◽  
pp. 198-208
Author(s):  
Don Capener ◽  
Richard Cebula ◽  
Fabrizio Rossi
Keyword(s):  
Interest Rate ◽  
Real Interest Rate ◽  
Budget Deficit ◽  
Corporate Bonds ◽  
Federal Budget ◽  
Budget Deficits ◽  
Content Type ◽  
Federal Budget Deficit ◽  
The Us ◽  
Ex Ante

Purpose To investigate the impact of the federal budget deficit (expressed as a per cent of the Gross Domestic Product, GDP) in the US on the ex ante real interest rate yield on Moody’s Baa-rated corporate bonds and to provide evidence that is both contemporary and covers an extended time period, namely, 1960 through 2015. Design/methodology/approach The analysis constructs a loanable funds model that involves a variety of financial and economic variables, with the ex ante real interest rate yield on Moody’s Baa-rated long-term corporate bonds as the dependent variable. The dependent variable is contemporaneous with the federal budget deficit and two other interest rate measures. Accordingly, instrumental variables are identified for each of these contemporaneous explanatory variables. The model also consists of four additional (lagged) explanatory variables. The model is then estimated using auto-regressive, i.e., AR(1), two-stage least squares. Findings The principal finding is that the ex ante real interest rate yield on Moody’s Baa rated corporate bonds is an increasing function of the federal budget deficit, expressed as a per cent of GDP. In particular, if the federal budget deficit were to rise by one per centage point, say from 3 to 4 per cent of GDP, the ex ante real interest rate would rise by 58 basis points. Research limitations/implications There are other time-series techniques that could be applied to the topic, such as co-integration, although the AR(1) process is tailored for studying volatile series such as interest rates and stock prices. Practical/implications The greater the US federal budget deficit, the greater the real cost of funds to firms. Hence, the high budget deficits of recent years have led to the crowding out of investment in new plant, new equipment, and new technology. These impacts lower economic growth and restrict prosperity in the US over time. Federal budget deficits must be substantially reduced so as to protect the US economy. Social/implications Higher budget deficits act to reduce investment in ew plant, new equipment and new technology. This in turn reduces job growth and real GDP growth and compromises the health of the economy. Originality/value This is the first study to focus on the impact of the federal budget deficit on the ex ante real long term cost of funds to firms in decades. Nearly all related studies fail to focus on this variable. Since, in theory, this variable (represented by the ex ante real yield on Moody’s Baa rated long term corporate bonds) is a key factor in corporate investment decisions, the empirical findings have potentially very significant implications for US firms and for the economy as a whole in view of the extraordinarily high budget deficits of recent years.

scholarly journals An Empirical Analysis of the Effects of Budget Deficits (Total and Primary) and Personal Income Tax Rates on the Ex Post Real Interest Rate Yield on Long-Term U.S. Treasury Bonds

2019 ◽  
Vol 11 (2) ◽  
pp. 203-218
Author(s):  
Richard J. Cebula
Keyword(s):  
Interest Rate ◽  
Income Tax ◽  
Real Interest Rate ◽  
Budget Deficit ◽  
Federal Budget ◽  
Personal Income ◽  
Budget Deficits ◽  
Personal Income Tax ◽  
Treasury Bonds ◽  
Ex Post

This empirical study adopts an open-economy loanable funds model to investigate the impact of post-Bretton Woods U.S. federal government budget deficits and personal income tax rates on the ex post real interest rate yield on thirty-year Treasury bonds. In this study, the budget deficit is measured in two different ways, the total (“unified”) budget deficit and the primary deficit (the total/unified deficit minus net interest payments). Two different estimation techniques, autoregressive two stage least squares estimation and the ARCH (Autoregressive Conditional Heteroscedasticity) Method, for the 1973-2016 study period provide evidence that the ex post real interest rate yield on thirty-year Treasury bonds has been an increasing function of both federal budget deficit measures (expressed as a percent of GDP) and the maximum marginal federal personal income tax rate. The estimations all imply that elevating either the total/unified or primary federal budget deficit appears to raise the cost of borrowing in the U.S., whereas reducing the maximum marginal personal income tax rate appears to reduce the cost of borrowing. Given the potential effects of longer-term real interest rates on investment in new plant and equipment and overall economic growth, policy-makers should not overlook these findings.

The Impact of Budget Deficits on the Ex Ante Real Interest Rate Yield on Long–Term Treasury Notes in the USA

2014 ◽  
Vol 32 (1) ◽  
pp. 83-97
Author(s):  
Richard J. Cebula
Keyword(s):  
Interest Rate ◽  
Real Interest Rate ◽  
Budget Deficit ◽  
Federal Budget ◽  
Capital Inflows ◽  
Annual Data ◽  
Federal Budget Deficit ◽  
Ex Ante ◽  
Treasury Notes ◽  
The Impact

Abstract Using four decades of data, this exploratory empirical study adopts a loanable funds model to investigate the impact of the federal budget deficit in the U.S. on the Ex Ante real interest rate yield on ten-year Treasury notes. For the 40- year period 1973-2012, empirical estimation using quarterly data reveals that the Ex Ante real interest rate yield on ten-year U.S. Treasury notes was an increasing function of the Ex Ante real interest rate yield on Moody's Aaa-rated corporate bonds, the Ex Ante real interest rate yield on three-month Treasury bills, and the increase in per capita real GDP, while being a decreasing function of net capital inflows (as a percent of GDP) and the monetary base (as a percent of GDP). In addition, it is found that the federal budget deficit (as a percent of GDP) exercised a positive and statistically significant impact on the Ex Ante real interest rate yield on ten-year Treasury notes, a finding consistent in principle with a number of prior studies of various interest rate measures during shorter and earlier time periods. A robustness test using the Ex Ante real seven-year Treasury note yield and annual data supports these findings.

The long-run interrelationship between exchange rate and interest rate: the case of Mexico

2019 ◽  
Vol 46 (7) ◽  
pp. 1380-1397 ◽  
Author(s):  
Salvatore Capasso ◽  
Oreste Napolitano ◽  
Ana Laura Viveros Jiménez
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Real Exchange Rate ◽  
Real Interest Rate ◽  
Content Type ◽  
Long Run ◽  
Monetary Authorities ◽  
The Exchange Rate ◽  
The Interest Rate

Purpose The purpose of this paper is to analyse the long-term nature of the interrelationship between interest rate and exchange rate. Design/methodology/approach By employing Mexican data, the authors estimate a non-linear autoregressive distributed lags (NARDL) model to investigate the nature of the changes and the interaction between interest rate and exchange rate in response to monetary authorities’ actions. Findings The results show that, contrary to simplistic predictions, the real exchange rate causes the real interest rate in an asymmetric way. The bounds testing approach of the NARDL models suggests the presence of co-integration among the variables and the exchange rate variations appear to have significant long-run effects on the interest rate. Most importantly, these effects are asymmetric and positive variations in the exchange rate have a lower impact on the interest rate. It is also interesting to report that the reverse is not true: the interest rate in the long-run exerts no statistical significant impact on the exchange rate. Practical implications The asymmetric long-term relationship between real exchange rate and real interest rate is evidence of why monetary authorities are reluctant to free float exchange rate. In Mexico, as in most developing countries, monetary policy strongly responds to exchange rate movements because these have relevant effects on commercial trade. Moreover, in dollarized economies these effects are stronger because of pass-through impacts to inflation, income distribution and balance-sheet equilibrium (the well-known “original sin”). Originality/value Under inflation targeting and flexible exchange rate regime, despite central banks pursue the control of short-term interest rate, in the long-run one could observe that it is the exchange rate that influences the interest rate, and that this reverse causality is stronger in emerging economies. This paper contributes by analysing the asymmetric relationship between the variables.

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.

INTERNATIONAL EVIDENCE ON REAL INTEREST RATE PERSISTENCE

2015 ◽  
Vol 60 (04) ◽  
pp. 1550087 ◽  
Author(s):  
ZEYNEL ABIDIN OZDEMIR ◽  
CAGDAS EKINCI ◽  
KORHAN GOKMENOGLU
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Real Interest Rate ◽  
Structural Breaks ◽  
Real Interest Rates ◽  
Ex Post ◽  
Data Generating Process ◽  
The Usa ◽  
The Uk ◽  
Endogenous Structural Breaks

This paper investigates the persistency in the ex-post real interest rates in the presence of endogenous structural breaks for Australia, Austria, Belgium, Canada, Denmark, France, Germany, Ireland, Italy, the Netherlands, New Zealand, Norway, Switzerland, the UK and the USA using seasonally adjusted quarterly data. The procedure used in this study extends the previous research in the respect of investigating degree of persistency of the ex-post real interest rates series by allowing for possible process shifts at endogenously determined more than two structural breaks dates following the principles suggested by Lumsdaine and Papell (1997). The results from the study show that real interest rates are very persistent when such breaks are not taken into account. However, the findings also indicate low persistency in real interest rates for all countries when such breaks are allowed in the data-generating process. We find that endogenously determined structural breaks substantially reduce the degree of persistency of the real interest rate series, which has important theoretical implications as well.

Determinants of Inflation in Vietnam: A VECM Approach

2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Error Correction ◽  
Budget Deficit ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Domestic Credit ◽  
Short Run ◽  
The Impact

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.

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.

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.

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