The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements

This article examines short- and long-term price linkages among the majority of fine wine and equity markets over the period of 2003 to 2012. We do not consider the price index (LIV-EX 100 or 500), as is typically undertaken in previous studies, but rather examine the auction price series of the world’s most traded wine-vintage pairs (5 Bordeaux first growth, 8 Bordeaux second growth, 5 Burgundy, 3 Rhone, 4 Italian, 5 Californian, 1 Australian and 1 Portuguese). A global equity index is also included using the Morgan Stanley Capital International World. Cointegration procedures, the Granger non-causality test, and ECM are used to analyse short- and long-run relationships among these markets. The results indicate a strong effect of financial markets on wine prices and short-term causality for certain wines. Moreover, the findings indicate short-run causality between the wines themselves, revealing a leader (exogenous) or follower (endogenous) status of certain fine wines in price dynamics, and also long-run causality for endogenous wines. This approach is relevant to portfolio diversification strategies and allows price movements to be anticipated more accurately than using an index approach.     

Forecasting US real house price returns over 1831–2013: evidence from copula models

Given the existence of nonnormality and nonlinearity in the data generating process of real house price returns over the period of 1831–2013, this article compares the ability of various univariate copula models, relative to standard benchmarks (naive and autoregressive models) in forecasting real US house price over the annual out-of-sample period of 1874–2013, based on an in-sample of 1831–1873. Overall, our results provide overwhelming evidence in favour of the copula models (Normal, Student’s t, Clayton, Frank, Gumbel, Joe and Ali-Mikhail-Huq) relative to linear benchmarks, and especially for the Student’s t-copula, which outperforms all other models both in terms of in-sample and out-of-sample predictability results. Our results highlight the importance of accounting for nonnormality and nonlinearity in the data generating process of real house price returns for the US economy for nearly two centuries of data.     

Housing price fluctuations and financial risk transmission: a spatial economic model

Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999–2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers’ heavy investment, local governments’ land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the ‘substitution effect’, the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the ‘imitative behaviour’ or ‘driving effect’ of different sectors for different regions of China.     

Hedging effectiveness of fertilizer swaps

The fertilizer swaps market is a potential tool to protect against fertilizer price risk. The swaps evaluated here are cash settled using The Fertilizer Index. Hedge ratios and hedging effectiveness are calculated for urea and DAP diammonium phosphate (DAP)) swaps. Urea and DAP swaps perform poorly as a hedging tool over a one-week horizon. As the hedging horizon increases, the hedging effectiveness of swaps improves. The swaps are more effective in mitigating risk across ocean freight routes than across inland routes. The limited hedging effectiveness is due to high spatial basis risk in fertilizer markets.     

Scholastic just price versus current market price: is it merely a matter of labelling?

Abstract

From an analytical point of view, some aspects of Just Price theory, probably the most famous and lasting scholastic concept, remain controversial: the cost-of-production versus the subjective-utility theory of value is a main controversy as well as the question of whether the natural just price is conceptually the same as the current market price. Strictly speaking, just price isconceptually the same as the current market price. Of concern is whether the meaning behind the label is the same in both scholastic and liberal traditions. There are different interpretations among scholars. One is that the just price is merely the current market price, and common estimation plays the same role as market forces in a competitive context. Another group states that the just price is quite different from the market price; the fundamental reason is that the ethical framework of the scholastic paradigm sets a corpus of principles that greatly differs from the neoclassical homo economicus. Is it possible to speak of a collaborative market price (scholastic tradition) and competitive market price (liberal tradition)? This article tries to dig into such debate and reflects on the morality of the market price.     

Irving Fisher's debt deflation analysis: From the Purchasing Power of Money (1911) to the Debt-deflation Theory of the Great Depression (1933)

Abstract

In 1933, Irving Fisher proposed an explanation for the Great Depression based on the distinction between the price level and price change effect of deflation in a context of over-indebtedness. This paper compares the debt-deflation theory of Fisher (1933 Fisher, I., 1933. The debt-deflation theory of great depressions, Econometrica 1 (1933), pp. 337–57. DOI: 10.2307/1907327[Crossref], [Web of Science ®] , [Google Scholar]) with the dynamic depression process he had expounded almost 20 years earlier in the Purchasing Power of Money (1911). The role played by both price level and price change effects in the analyses of Fisher (1933, 1911) are clarified in the context of the disequilibrium model of Tobin (1975 Tobin, J., 1975. Keynesian models of recession and depression, American Economic Review 65 (1975), pp. 195–202.[Web of Science ®] , [Google Scholar]). More precisely, we show that the stationary equilibrium is assumed to be locally unstable according to Fisher's 1911 insights and globally unstable according to his 1933 analysis.     

Why Do Prices Remain Stable in the Bubble and Bust Period?

In spite of a large swing in real output growth in the bubble and bust period, aggregate prices remained relatively stable in Japan. Empirical results show that such price rigidity can be explained by the customer market model combined with financial constraints. The degree of financial constraints that firms face in the bubble and bust period fluctuates significantly, and the impact of financial positions on firms’ prices is counter-cyclical. In booms, liquidity-abundant firms invest in market share by keeping prices down, while in a recession financially constrained firms charge a high price to locked-in customers who remain loyal. Such counter-cyclicality is clearly observed in the pricing behavior of large firms that produce differentiated goods. In contrast, small firms whose product brand is not well established in the market cannot lock in customers, and hence financial constraints do not affect their pricing decisions.     

Determinants and Implications of Cyclicality: Contrasting Evidence Across Developed and Developing Countries

ABSTRACT

Using data for a sample of advanced and developing countries, the paper studies variation in the effects of aggregate demand shocks on the macro-economy and distinguish between the effects of expansionary and contractionary shocks. The aim is to study the determinants and implications of cyclicality across representative countries in each group. The composite evidence points to high degree of cyclicality in many countries. The risk of cyclicality is higher in developing countries as high trend inflation limits the scope to mobilize growth and increases downward rigidity of prices. Policy priorities in developing countries should be focused on fighting inflation and improving the investment environment towards maximizing the return on investment and sustaining growth and capacity building. Policy priorities in advanced countries should be focused on mobilizing resources to ease capacity constraints and finance larger investment, with limited crowding out, to maximize the potential of real growth and combat inflationary pressures.