Determinants of land value volatility in the U.S. Corn Belt

ABSTRACT

Understanding land value volatility and its reaction to exogenous shocks helps land owners, investors, and lenders assess risk. Land value volatility, the variance of the unpredictable component of land value growth rates, is modelled for each of the Corn Belt states in the U.S. using EGARCH. A pooled VAR system is then estimated to capture the interactions between land value determinants and land value volatility. The variables of the pooled VAR are split into negative and positive vectors to allow for asymmetric impacts. Impulse response functions are mapped. All states exhibit land value volatility clustering. Inflation, cash rent and population growth rates granger cause land value volatility. Land value volatility responses to negative shocks are greater than those to positive shocks. Lenders and investors should expect greater swings in land values after negative shocks to land value growth rates, but not an overreaction of land values from shocks to cash rent growth rates. Positive shocks to changes in interest rates increases land value volatility, but unexpected shocks to population growth rates do not have statistically significant impact on land value volatility.     

Why have business cycle fluctuations become less volatile?

This paper shows that a standard Real Business Cycle model driven by productivity shocks can successfully account for the 50% decline in cyclical volatility of output, its components, and labor input that has occurred since 1983. The model is successful because the volatility of productivity shocks has also declined significantly over the same time period. We then investigate whether the decline in the volatility of the Solow Residual is due to changes in the volatility of some other shock operating through a channel that is absent in the standard model. We therefore develop a model with variable capacity and labor utilization. We investigate whether government spending shocks, shocks that affect the household’s first order condition for labor, and shocks that affect the household’s first order condition for saving can plausibly account for the change in TFP volatility and in the volatility of output, its components, and labor. We find that none of these shocks are able to do this. This suggests that successfully accounting for the post-1983 decline in business cycle volatility requires a change in the volatility of a productivity-like shock operating within a standard growth model. We thank Stephen Parente, Ed Prescott, John Taylor, and two anonymous referees for helpful comments and suggestions.     

Economic growth,volatility, and cross-country spillovers: New evidence for the G7 countries

This study examines the linkages between output growth and output volatility in the G7 countries over the period 1958M2–2013M8. Using the VAR-based spillover index approach by Diebold and Yilmaz (2012) we find that: i) output growth and volatility are highly intertwined; ii) spillovers have reached unprecedented levels during the global financial crisis; and iii) the US has been the largest transmitter of growth and volatility shocks. Generalized impulse response analyses suggest moderate growth spillovers and sizable volatility spillovers across countries. Cross-variable effects indicate that volatility shocks lead to lower growth, while growth shocks reduce output volatility.     

Oil shocks and stock volatility: new evidence via a Bayesian,graph-based VAR approach

ABSTRACT

This article examines the temporal dependence between three oil shocks and realized volatility in the stock markets of G20 countries between 1994 and 2019. By applying a novel, graphical, Bayesian VAR (BGVAR) model, we calculate unidirectional linkages of oil and stock volatility with a full and segmented sample. The results suggest an overall causality from stock volatility to oil shocks. For certain short, specific periods, the causal direction reverses. Depending on the country and the source of an oil shock, the magnitude and type of the effect can vary considerably. Specific oil-market shocks occur most often in our full sample. In a time-varying structure, oil supply shocks’ impact on stock volatility is more prominent, and net oil-importing countries’ responses to these shocks are greater than for oil-exporting countries. In addition, we find that relationship dynamics can capture market information, such as global economic growth during the 2008–2009 financial crisis.     

The Volatility and Transmission of Equity Returns among the G-7 Countries: the post-Bretton Woods experience

This paper models the volatility of national stock market returns of the G-7 countries using ARCH and GARCH modeling techniques. Then, via the use of vector autoregression analysis, the international transmission of volatility among the countries is explored for the period between April 1973 and July 1990. Variance decompositions are calculated in order to quantify the impacts of volatility shocks in one market on the others. Impulse response functions are used to inspect the dynamic responses of domestic and foreign volatility shocks. Results indicate that volatility transmission among the G-7 countries is the norm in the post-Bretton Woods era. Further, we find that volatility shocks are generally absorbed within six to nine months.     

Dynamic frequency connectedness between oil and natural gas volatilities

The goal of this paper is twofold. First, we study dynamic volatility connectedness between oil and natural gas over the period 1994 to 2018. Second, we examine the frequency dynamics of the transmission mechanism arising from frequency-specific responses to volatility shocks. To do so, we adopt a newly introduced approach that decomposes connectedness measures based on variance decompositions into their components at different frequency ranges. Our results summarize as follows: (a) there is a substantial variation in volatility spillovers over time; (b) the natural gas market was a net transmitter during the central part of our sample period; (c) the magnitude of spillovers was smaller after the financial crisis, but volatilities are not decoupled. (d) The volatility propagation mechanism is frequency dependent. Connectedness is typically created at low-frequencies, with volatility shocks across markets having long-lasting effects. However, during some specific periods, such as after Katrina, volatility was transmitted much faster, with shocks dissipating in the short-run.     

What horizon for targeting inflation?

We investigate optimal horizons for targeting inflation in response to different shocks and their properties. Our analysis is based on a well specified macroeconometric model of Norway. We find that optimal horizons are highly shock-specific and do not increase with concern for output and/or interest rate fluctuations beyond some shock-specific levels. Optimal horizons increase with the degree of persistence in shocks while they are not affected by the size of a shock unless the central bank is averse to interest rate volatility. In the face of multiple shocks, however, sizes as well as signs of shocks become important for optimal horizons even when the central bank is not averse to interest rate volatility. This is because shocks of different signs and sizes may amplify or outweigh each others’ effects.     

MARKUPS AND THE REAL EFFECTS OF VOLATILITY SHOCKS

This article studies the role of endogenous markups in the transmission of volatility shocks in real models. I design a variant of a small open economy model with volatility shocks and firm dynamics that gives rise to endogenous markups. I calibrate this model to match the business cycle facts in emerging economies and show that the impact of volatility shocks is substantially amplified if markups are endogenously time varying. Volatility shocks increase savings, due to precautionary motives, and markups, which act as a wedge that endogenously decreases real wages and labor supply with further negative aggregate dynamics that are absent in the models with constant markups.     

Interest rate volatility and macroeconomic dynamics: Heterogeneity matters

We examine the relation between real interest rate volatility and aggregate fluctuations for a diverse sample of countries. Compiling a new dataset including emerging and advanced countries, the substantial variation in our data yields novel results: (a) stochastic volatility outperforms Markov‐switching in representing interest rates, (b) some advanced economies can be more volatile than emerging markets, and (c) creditors take on more debt following volatility shocks. We show how an equilibrium business cycle model with uncertainty shocks can generate these facts. Sample heterogeneity produces significant parameter differences, playing an important role in distinguishing the effects of volatility shocks.     

On the (de)stabilizing effects of news shocks

This paper shows that news shocks amplify macroeconomic volatility in any purely forward-looking model, whereas results are ambiguous when including a backward-looking component. We also investigate numerically the volatility effects of news shocks within the Smets and Wouters (2003) model.     

Forward Rates,Interest Rates,and Expectations Under Alternative Exchange Rate Regimes*

A model comprising spot and forward foreign exchange markets and a domestic credit market is used to examine the trade-off between volatility in the nominal exchange rate and domestic interest rate. It also shows how a slowly crawling spot rate can raise interest rate volatility and the amplitude of reserve flows. Finally, the paper extends a finding by Driskill and McCafferty that the exchange rate effects of external shocks are differently affected by the responsiveness of speculation to expected profits; high responsiveness makes the spot exchange rate more sensitive to foreign financial shocks but less sensitive to trade balance shocks.     

Sources of employment fluctuations in Taiwan's industries and regions

This empirical study explores the sources of employment fluctuations in Taiwan's industries and regions over the period 1978 to 2004. The quarterly growth rates of employment in nine industries and four regions are modelled with a structural vector autoregression (VAR), and the employment shocks are measured by VAR residuals. The covariance matrix of the VAR residuals is decomposed using system estimation method that selects the parameters to make the error model close to the covariance matrix and, in turn, to estimate the relative importance of national as well as industry-specific and region-specific shocks. The empirical results show that industry-specific shocks account for the major fluctuations in industries and regions. On average, about 83.95% of an industry's cyclical variations and 56.28% of the volatility in a region may be attributed to industry-specific shocks. National shocks account for little employment volatility in industries. Only the finance and personal service industries are highly sensitive to national shocks.     

Diversification across ASEAN-wide sectoral and national equity returns

This paper examines the effects of local and global shocks on the sector indices and national returns of the Association of Southeast Asian Nations (ASEAN) by using the univariate AR-GARCH model. We find that regional and global shocks have different influences on the ASEAN-wide sector and national equity indices. There is evidence that the ASEAN-wide sectoral returns are mostly driven by local shocks, except for the insurance and technology sectors. The volatility of Singapore's and Vietnam's national returns mostly results from their own shocks rather than local and global shocks. Applying the trend spillover model, this paper also shows that the effects of regional and global shocks on return volatility have been decreasing for almost all ASEAN-wide sectors' equity indices, while the trend for the volatility spillover effects of those shocks are positive and significant for the production and industries group sectors, as well as the food and beverage sector. Comparing the variance ratios of ASEAN sectoral and national returns, it is evident that the percentage of national equity returns belonging to their own shocks is higher than that of sectoral returns, indicating that investors might be better off diversifying their assets across countries rather than sectors in ASEAN area. This finding is consistent with the results of the mean–variance frontiers, as the portfolio composed purely of ASEAN national returns has a stronger efficiency frontier than a portfolio of all ASEAN-wide sector equity returns. By using the spanning and intersection tests, the paper also indicates that adding ASEAN national equity returns might improve the efficiency frontiers of investors' holding portfolios.     

Gross domestic product growth,volatility and regime changes nexus: the case of Portugal

This paper provides evidence of the behavior of GDP growth volatility in Portugal over the period from 1961 to 2016 with the main objective of measuring the degree of asymmetry of GDP growth rates volatility across the business cycles and its persistence over time. The methodological setting benefits from the most recent developments that recommend the consideration of structural changes in both the mean and variance and asymmetric reactions of volatility to positive and negative shocks. The results document structural changes and significant reductions of GDP growth rates volatility consistent with the “Great Moderation” phenomenon and reveal that the impact of negative shocks on volatility exceeds that of positive shocks more than 4 times over the sample period. Moreover, these asymmetries follow a rather stable pattern over the sample period, suggesting that the Portuguese economy has not been able to reduce its growth vulnerability to cyclical fluctuations.     

Exchange Rate Volatility and Output Volatility: A Theoretical Approach*

This paper makes an attempt to determine the factors influencing exchange rate and exchange rate uncertainty, as well as output and output variability. In the context of a small open economy under flexible exchange rates regime it is found that the level both of exchange rate and output is affected by monetary and inflationary shocks, as well as shocks in government spending, output, and trade balance. Further, the uncertainty of exchange rate and output is associated positively with the uncertainty of all shocks while the contemporaneous occurrence of selected shocks imposes either a positive or negative impact on exchange rate and output volatility. Finally, it is shown that the effect of the determinants either of exchange rate volatility or output volatility is very sensitive to the parameter values.     

Accounting for output fluctuations in manufacturing

There is a substantial body of evidence to the effect that output is more volatile than sales among manufacturing industries. Numerous explanations have been advanced to account for this excess output volatility. Some examples are pro-cyclical inventory movements induced by a stockout-avoidance motive, cost and technology shocks and decreasing marginal costs. This article assesses the contribution of these different motives to output volatility for six different manufacturing industries. Linear–quadratic models are estimated for each of the industries and then dynamic simulations are employed to determine the volatility of output when one or more of the factors are removed from the model. Technology shocks provide the most significant contribution to output volatility. The stockout-avoidance motive is also important. Cost shocks provide a very small contribution and marginal production costs are increasing at the margin and thus stabilize output. It is also shown that output volatility declines when current values of sales and material costs are assumed known rather than forecasted from prior periods’ values.     

Output volatility,composition of trade,and transmission of economic shocks across countries

In this paper we investigate how supply and demand shocks in one country affect output volatility in other countries. While the evidence for cross‐country transmission of demand shocks is mixed, we find that volatile supply in one country leads to larger imports and output volatility in other countries. As a result, the effect of trade openness on output volatility is highly heterogeneous across countries and depends on the composition of their trade. Those countries whose imports originate in economies with volatile supply experience a greater impact of trade on output volatility.     

EXAMINING THE STABILITY OF OKUN'S COEFFICIENT

The stability of Okun's law coefficient in the United States from 1949 to 2015 is examined using a regression with GARCH errors in order to capture the volatility of the series. Rolling estimations suggest that taking the volatility of the series into account yields more stable results compared to the simple OLS estimation, irrespective of the specification (gap or growth model), the data frequency (monthly or quarterly), or the length of the rolling window. The results also suggest that the persistence of shocks became much more important in explaining contemporaneous volatility when data from the recent global financial crisis were incorporated. In contrast, the feedthrough of output shocks in next period's output volatility was more important in the past, and especially during the 1970s stagflation period, but has been declining since.     

Investment and deposit contracts under costly intermediation and aggregate volatility

This paper examines how volatility affects investment and the form of deposit contracts in a three-period model where capital formation is financed by bank credit and lenders face state verification and enforcement costs. Firms face both idiosyncratic and aggregate shocks, and agents are initially risk neutral. We show that intermediation costs magnify the incidence of macroeconomic volatility on banks' expected losses and have an adverse effect on investment. With risk-averse consumers, the impact of banks' expected losses on investment is mitigated because the equilibrium deposit contract provides partial insurance against adverse macroeconomic shocks.     

Monetary policy and commodity terms of trade shocks in emerging market economies

Commodity terms of trade shocks have continued to drive macroeconomic fluctuations in most emerging market economies. The volatility and persistence of these shocks have posed great challenges for monetary policy. This study employs a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model to evaluate the optimal monetary policy responses to commodity terms of trade shocks in commodity dependent emerging market economies. The model is calibrated to the South African economy. The study shows that CPI inflation targeting performs relatively better than exchange rate targeting and non-traded inflation targeting both in terms of reducing macroeconomic volatility and reducing the losses of a non-benevolent central bank. However, macroeconomic stabilisation comes at a cost of increased exchange rate volatility. The results suggest that the appropriate response to commodity induced exogenous shocks is to target CPI inflation.