Credit default swaps and sovereign debt markets

This study investigates the link between the price discovery dynamics in sovereign credit default swaps (CDS) and bond markets and the degree of financial integration of emerging markets. Using CDS and sovereign bond spreads, the price discovery mechanism was tested using a vector error correction model. Financial integration is measured using news-based methods. We find that sovereign CDS and bond markets are co-integrated. In five out of seven sovereigns (71%), the bond market leads in price discovery by adjusting to new information regarding credit risk before CDS. In 29% of times, CDS markets are the source of price discovery. We also find a positive correlation of 0.67 between the degree of financial integration and the bond market information share. The evidence suggests that changes in sovereign credit risk and bond yields are significantly influenced by common external (global) factors, while country-specific factors play an insignificant role.     

Text-based crude oil price forecasting: A deep learning approach

This study proposes a new, novel crude oil price forecasting method based on online media text mining, with the aim of capturing the more immediate market antecedents of price fluctuations. Specifically, this is an early attempt to apply deep learning techniques to crude oil forecasting, and to extract hidden patterns within online news media using a convolutional neural network (CNN). While the news-text sentiment features and the features extracted by the CNN model reveal significant relationships with the price change, they need to be grouped according to their topics in the price forecasting in order to obtain a greater forecasting accuracy. This study further proposes a feature grouping method based on the Latent Dirichlet Allocation (LDA) topic model for distinguishing effects from various online news topics. Optimized input variable combination is constructed using lag order selection and feature selection methods. Our empirical results suggest that the proposed topic-sentiment synthesis forecasting models perform better than the older benchmark models. In addition, text features and financial features are shown to be complementary in producing more accurate crude oil price forecasts.     

Diagnosing housing fever with an econometric thermometer

Housing fever is a popular term to describe an overheated housing market or housing price bubble. Like other financial asset bubbles, housing fever can inflict harm on the real economy, as indeed the U.S. housing bubble did in the period following 2006 leading up to the general financial crisis and great recession. One contribution that econometricians can make to minimize the harm created by a housing bubble is to provide a quantitative “thermometer” for diagnosing ongoing housing fever. Early diagnosis can enable prompt and effective policy action that reduces long-term damage to the real economy. This paper provides a selective review of the relevant literature on econometric methods for identifying housing bubbles together with some new methods of research and an empirical application. We first present a technical definition of a housing bubble that facilitates empirical work and discuss significant difficulties encountered in practical work and the solutions that have been proposed in the past literature. A major challenge in all econometric identification procedures is to assess prices in relation to fundamentals, which requires measurement of fundamentals. One solution to address this challenge is to estimate the fundamental component from an underlying structural relationship involving measurable variables. A second aim of the paper is to improve the estimation accuracy of fundamentals by means of an easy-to-implement reduced-form approach. Since many of the relevant variables that determine fundamentals are nonstationary and interdependent we use the endogenous instrumental variable based method (IVX) to estimate the reduced-form model to reduce the finite sample bias which arises from highly persistent regressors and endogeneity. The recursive evolving test proposed by Phillips, Shi, and Yu (PSY) is applied to the estimated nonfundamental component for the identification of speculative bubbles. The new bubble test developed here is referred to as PSY-IVX. An empirical application to the eight Australian capital city housing markets over the period 1999–2017 shows that bubble testing results are sensitive to different ways of controlling for fundamentals and highlights the importance of accurate estimation of these housing market fundamentals.     

List price and sales prices of residential properties during booms and busts

This paper investigates the relationship between the list and sale price of residential properties over the housing cycle. In down or normal markets the list price generally exceeds the sales price; however, when the housing market is strong, homes sell for more than their list price. This observation is not consistent with the assumptions made in the standard model of home sellers’ search behavior. We consider alternative models. In one, sellers set list prices based on their expectations of future changes in sales prices and the arrival rate of buyers; however, demand shocks occur. This model partially explains our data from the Belfast, U.K. housing market, but it fails to predict the list to sales price ratio during a sustained housing boom. We next describe a model where sellers’ endogenously select their search mechanism depending on the strength of the housing market. We find support for the conjecture that sellers switch to an auction-like model during housing booms. There also is evidence that during a downturn in the market, sellers’ list prices are sticky.     

The asymmetric effect of crude oil prices on stock prices in major international financial markets

The aim of this paper is to explore the potential asymmetric impacts of positive and negative shocks in crude oil prices on stock prices in six major international financial markets which include China, Hong Kong, America, Japan, Britain, and Germany. We test for these asymmetric effects on 8 major international financial markets indices over the 2007M01–2020M03 periods. Our independent measures include the prices of Brent crude oil futures and West Texas Intermediate (WTI) futures. We use the nonlinear ARDL (NARDL) model proposed by Shin et al. (2014), which can capture both short- and long-run nonlinearities through positive and negative partial sum decompositions of the explanatory variables. This research finds that positive and negative fluctuations of oil price have asymmetric effects on stock price index in four financial markets, but the performance of the asymmetry is different. Specifically, the impacts of volatility in oil prices on two indices of Chinese stock prices are different, and the asymmetric effects of oil price volatility on stock price indices in China and other financial markets are significantly different.     

An approximate long-memory range-based approach for value at risk estimation

This paper proposes new approximate long-memory VaR models that incorporate intra-day price ranges. These models use lagged intra-day range with the feature of considering different range components calculated over different time horizons. We also investigate the impact of the market overnight return on the VaR forecasts, which has not yet been considered with the range in VaR estimation. Model estimation is performed using linear quantile regression. An empirical analysis is conducted on 18 market indices. In spite of the simplicity of the proposed methods, the empirical results show that they successfully capture the main features of the financial returns and are competitive with established benchmark methods. The empirical results also show that several of the proposed range-based VaR models, utilizing both the intra-day range and the overnight returns, are able to outperform GARCH-based methods and CAViaR models.     

钢材期货价格发现功能研究——基于印度市场信息共享模型的分析

本文借助Johansen协整检验、Granger因果检验、信息共享模型、方差分解等方法进行多层次实证研究,定量地刻画出期货市场在价格发现中作用的大小。研究结果显示：印度板材期货价格和现货价格之间存在长期均衡关系,在价格引导上仅存在现货对期货价格的单向引导关系,期货对现货没有引导关系;通过方差分解发现,现货市场在价格发现功能中处于主导地位,说明印度钢材期货市场效率有待提高,板材期货没有实现其应有的价格发现功能。     

Stocks,bonds, money markets and exchange rates: measuring international financial transmission

Understanding the complexity of the financial transmission process across various assets—domestically as well as within and across asset classes—requires the simultaneous modeling of the various transmission channels in a single, comprehensive empirical framework. The paper estimates the financial transmission between money, bond and equity markets and exchange rates within and between the USA and the euro area. We find that asset prices react strongest to other domestic asset price shocks, but that there are also substantial international spillovers, both within and across asset classes. The results underline the dominance of US markets as the main driver of global financial markets: US financial markets explain, on average, around 30% of movements in euro area financial markets, whereas euro area markets account only for about 6% of US asset price changes. Moreover, the methodology allows us to identify indirect spillovers through other asset prices, which are found to increase substantially the international transmission of shocks within asset classes. Copyright © 2010 John Wiley & Sons, Ltd.     

ECONOMETRIC MODELS OF ASYMMETRIC PRICE TRANSMISSION

Abstract In this paper, we review the existing empirical literature on price asymmetries in commodities, providing a way to classify and compare different studies that are highly heterogeneous in terms of econometric models, type of asymmetries and empirical findings. Relative to the previous literature, this paper is novel in several respects. First, it presents a detailed and updated survey of the existing empirical contributions on price asymmetries in the transmission mechanism linking input prices to output prices. Second, this paper presents an extension of the traditional distinction between long‐run and short‐run asymmetries to new categories of asymmetries, such as: contemporaneous impact, distributed lag effect, cumulated impact, reaction time, equilibrium and momentum equilibrium adjustment path, regime effect, regime equilibrium adjustment path. Each empirical study is then critically discussed in the light of this new classification of asymmetries. Third, this paper evaluates the relative merits of the most popular econometric models for price asymmetries, namely autoregressive distributed lags, partial adjustments, error correction models, regime switching and vector autoregressive models. Finally, we use the meta‐regression analysis to investigate whether the results of asymmetry tests are not model‐invariant and find which additional factors systematically influence the rejection of the null hypothesis of symmetric price adjustment. The main results of our survey can be summarized as follows: (i) each econometric model is specialized to capture a subset of asymmetries; (ii) each asymmetry is better investigated by a subset of econometric models; (iii) the general significance of the F test for asymmetric price transmission depends mainly on characteristics of the data, dynamic specification of the econometric model, and market characteristics. Overall, our empirical findings confirm that asymmetry, in all its forms, is very likely to occur in a wide range of markets and econometric models.     

Price competition in the spatial real estate market: allies or rivals?

This paper examines whether real estate firms can avoid price competition when properties in the vicinity are priced by allies. An oligopoly model with differentiated products generally suggests that real estate firms engage in price competition with their spatially closest rivals. Yet, they can raise property prices when the market share of their allies increases. To test this prediction, a spatial autoregressive model with spatial autoregressive disturbances, including a share of allies in the vicinity, is estimated using data on the prices of residential condos in central Tokyo, Japan. The model prediction is supported by the empirical results. In the data set, the magnitude of the market share on property prices increases with the expansion of the size of the spatial market.     

On illiquidity of an emerging sovereign bond market

This study offers an analysis of a sovereign bond market in an emerging country, Turkey, and its illiquidity. We employ the Nelson-Siegel model to generate a term structure for interest rates directly from daily bond price quotes in the Turkish market. We take the noise measure, which is the byproduct of term structure estimation, as a proxy for market-wide illiquidity. Our results show that this noise measure can capture the illiquidity in the Turkish fixed-income market from global financial turbulence as well as local dynamics. Inflation uncertainty and sentiment are the major macro drivers of liquidity crunches. It has also become clear that liquidity in an emerging market such as Turkey in the aftermath of the 2008 crisis has been driven by global forces, however, since 2013 local factors have taken over. This apparent decoupling in liquidity between a major emerging market and global markets followed the approaching end of quantitative easing and a rise in economic turbulence in the country since then.     

Productivity,price recovery,capacity constraints and their financial consequences

Mining and fishing are both extractive industries, although one resource is renewable and the other is not. Miners and fishers pursue financial objectives, although their objectives may differ. In both industries financial performance is influenced by productivity and prices. Finally, in both industries capacity constraints influence financial performance, perhaps but not necessarily through their impact on productivity, and both industries encounter external as well as internal capacity constraints. In this study we develop an analytical framework that links all four phenomena. We use return on assets to measure financial performance, and our analytical framework is provided by the duPont triangle. We measure productivity change in two ways, with a theoretical technology-based index and with empirical price-based indexes. We measure price change with empirical quantity-based indexes. We measure internal capacity utilization by relating a pair of output quantity vectors representing actual output and full capacity output, and we develop physical and economic measures of internal capacity utilization. We also show how external capacity constraints can restrict the ability to reach full capacity output. The analytical framework has productivity change, price change and change in capacity utilization influencing change in return on assets.     

Adverse effects of leverage and short-selling constraints in a financial market model with heterogeneous agents

This paper investigates the impact of leverage and short-selling constraints on financial market stability. Investors׳ demand is modelled in a well-known asset pricing model with heterogeneous beliefs. In particular, I generalise the heterogeneous agents model of Brock and Hommes (1998) and Anufriev and Tuinstra (2013) to allow for leverage constraints as well as a short-selling tax. I consider two examples of adaptive belief systems describing the coevolution of prices and investors׳ beliefs. First, if the market is inhabited by fundamentalist and chartist traders, demand constraints have potential adverse effects and may restrict the stabilising fundamentalist strategy such that mispricing and price volatility increase. Second, if the market is inhabited by fundamentalists, optimists and pessimists with fixed beliefs, demand constraints drive down price volatility, but mispricing remains. The results suggest the stabilising effects of demand constraints in financial markets are limited. Only if asset prices are too high compared to fundamentals, policy makers should consider constraining leverage ratios in order to deflate financial bubbles.     

On pure-strategy Nash equilibria in price–quantity games

This paper examines the existence and characteristics of pure-strategy Nash equilibria in oligopoly models in which firms simultaneously set prices and quantities. Existence of a pure-strategy equilibrium is proved for a class of price–quantity games. If the demand function is continuous, then the equilibrium outcome is similar to that of a price-only model. With discontinuous demand and limited spillover, there are rationing equilibria in which combined production falls short of market demand. Moreover, there might again be an equilibrium reflecting the outcome of a price game. Competition in price and quantity thus yields Bertrand outcomes under a variety of market conditions.     

Spillover effects in oil-related CDS markets during and after the sub-prime crisis

This paper investigates the return and volatility spillover effects across oil-related credit default swaps (CDSs), the oil market, and financial market risks for the US during and after the subprime crises. The empirical analysis is based on monthly return and realized volatility data from February 2004 to April 2020. We estimate both static and dynamic generalized dynamic spillover measures based on vector autoregressive (VAR) models. Our full sample empirical findings show that the oil market is the primary source of risk transmission for all the oil-related credit default swaps, while the bond market is the highest source of risk transmission to the stock market and vice versa. We also provide evidence that the regulated monopoly US utility sector has the least role in volatility transmission. Furthermore, the bailout program conducted by the US Treasury and Federal Reserve helped stabilize the US financial market through the purchase of toxic assets after the subprime financial crisis. We find strong evidence that the federal funds rate hike cycles lessen total risk transmission throughout the US bond market. Finally, our findings assert that oil price shocks have a significant effect on the oil-related CDSs in some sub-periods via the demand and supply transmission channels.     

Asymmetries between Rich and Poor Countries in Financial Crisis Responses: The Need for a Flow-of-Funds Approach

This paper focuses on the manner in which interest rates have been raised to, and sustained at, extremely high levels in developing and emerging market economies as a consequence of recent financial crises. By contrast rich market economies have typically lowered interest rates and injected liquidity in response to incipient financial crises. The paper first sketches the logic that lies behind extremely high interest rates (nominal and real) as an element of crisis resolution. It suggests that this reflects a money-phobic view of financial markets and also conflicts with some well-established economics. It then reviews the conventional wisdom about why richer economies have enjoyed sustained price stability in recent years and why this in turn has allowed their monetary authorities to be relaxed about injecting additional liquidity in response to LTCM (1998) and September 11 (2001)-type crises. It is pointed out that this conventional wisdom is also money-phobic in that it neglects the build up of corporate and government debt in bond and financial derivative form that has been associated with recent financial developments. This analysis helps to contest the common view that emerging market economies pay a higher price merely because their polices are "bad'. Finally, the paper reviews the manner in which the financial systems of developing and emerging market economies respond to the destabilization created by corrosively high real rates of interest. Even when bankruptcy arrangements are well established, certain new forms of financial flows and instruments are implicit in this response, but are invariably ignored in formal modelling.     

World Economic Prospects Monthly

Overview: Market falls overstate loss of momentum

• ? Financial market moves in recent months suggest that there is increasing concern about a substantial global growth slowdown or even a recession. But we continue to see this as an over‐reaction to the weakening economic data; while the downside risks to the global GDP growth outlook have clearly risen, our baseline forecast for 2019 is little changed at 2.7%, down from 3% in 2018.
• ? Recent economic news confirms that the Q3 economic soft patch appears to have spilled over into Q4, particularly in the industrial sector which has seen a broad‐based loss of momentum in many economies coinciding with a further slowdown in global trade growth. But while surveys of service sector activity have also moderated, the falls have been rather less abrupt, suggesting that overall global GDP growth is slowing albeit not alarmingly so.
• ? On balance, we think that the weaker data do not provide compelling evidence that global growth is slowing more sharply than our December forecast. Although the financial market sell‐off and associated tightening in financial conditions will impinge on growth, this may at least be partly offset by weaker inflation in response to lower oil prices, now seen at US$61pb in 2019. This, combined with the continued strength of labour markets and the likelihood of further moderate wage growth, points to a further period of solid household spending growth.
• ? Nonetheless, the risk of a sharper slowdown has risen. Cyclical risks have increased over the past couple of years as spare capacity has diminished. And uncertainty over the economic and financial market impact of the unwinding of central balance sheets have added to the risk of policy mistakes.
• ? Although our central view is that the recent financial market correction will not morph into something rather nastier, further sustained weakness (particularly if accompanied by dollar strength) would have more significant implications for activity and could see world growth falling below the 2016 post‐crisis low of 2.4%.

     

Exchange rate pass-through at the individual product level: Implications for financial market integration

Global and regional integration of financial markets with enhanced international monetary transactions between economic agents increases the exchange rate risk. As this obstacle is growing at speed, market integration should be developed with a view to avoid this risk. In this study, we investigate exchange rate pass-through (ERPT) to examine who takes this risk. Specifically, we estimate the degree of ERPT for individual products by using primary auction price data of used/second-hand construction machinery purchased in Japan and then exported to Thailand for resale. Our empirical analysis of these data at the individual product level enables us to avoid bias in estimating ERPT caused by the use of aggregated data. We find that ERPT is asymmetric and changes in exchange rates are reflected in baht-denominated resale prices only when the baht appreciates against the yen. This indicates that raising resale prices in the destination market is more difficult for the exporters than lowering them, meaning that they can suffer significantly from the exchange rate risk. This paper serves as a reference for a safer financial market by learning how market players are influenced by the exchange rate in a trade market with a unique dataset.     

会计中的价值与成本问题

文章探讨"价值"与"成本"在财务会计和成本(管理)会计中的性质与功能。在财务会计中,价值通常来自市场,表现为过去的买入市价、当前的买入或脱手(销售)市价,这些价格可以称为历史成本、现行成本和公允价值,并作为财务会计与报表(报告)的计量属性。但成本会计中的成本则意味着产品成本,是由资产和其他资源的价值转化而来,在产品生产过程中,主要的信息是产品成本的分配、归集和积累,这里没有新价值可以确认,除非产品在市场交换。总之,在财务会计中,价值和成本信息表示一个企业的经营、投资和融资能力,而在成本会计中,只有成本信息表现管理层的才能(比如企业有效利用企业资源效率常表现为成本水平的高低)。     

Financial markets with volatility uncertainty

We investigate financial markets under model risk caused by uncertain volatilities. To this end, we consider a financial market that features volatility uncertainty. We use the notion of G-expectation and its corresponding G-Brownian motion recently introduced by Peng (2007) to ensure a mathematically consistent framework. Our financial market consists of a riskless asset and a risky stock with price process modeled by geometric G-Brownian motion. We adapt the notion of arbitrage to this more complex situation, and consider stock price dynamics which exclude arbitrage opportunities. Volatility uncertainty results in an incomplete market. We establish the interval of no-arbitrage prices for general European contingent claims, and deduce explicit results in the Markovian case.