Pricing‐to‐Market and Market Structure*

Stimulated by imperfect competition/sticky prices framework of the new open economy macroeconomics, empirical research has reconsidered the role of exchange rates in international adjustment. This paper reassesses the link between exchange rates and traded good prices by estimating pricing‐to‐market equations for the five main euro area countries over the period 1990–99. We minimize selection biases by keeping all manufacturing products and all destination markets and show that exchange rate pass‐through (ERPT) is much larger, almost complete, than previously estimated. Thanks to a huge variability in terms of exchange rate variations, products and destination markets, we can map differences in ERPT into market structures and, at the same time, reconcile our results with the empirical literature. We find that ERPT is highly incomplete for sales by oligopolistic industries into advanced economies, indeed in the order of 50–60% as previously estimated. ERPT is instead almost complete in emerging and developing economies where therefore exchange rate movements can help adjust external imbalances. We also find that ERPT is largely asymmetric: it is almost complete after an appreciation of the exporter's currency, rather incomplete after a depreciation. This result is very robust across specifications.     

Sudden Unintended Used‐Price Deceleration? The 2009–2010 Toyota Recalls

Using data from the vehicle resale market, I test consumer responsiveness to large‐scale product recalls that are caused by safety problems. The used‐vehicle prices of Toyotas are compared to the used‐vehicle prices of the other major domestic and foreign manufacturers. The results quantify the losses suffered by Toyota vehicle owners in secondary markets due to the 2009–2010 safety recalls of more than 9 million Toyota Motors vehicles. The treatment effect of a recall is measured using panel data with a difference‐in‐differences estimation approach that allows for time‐varying treatment effects and serial correlation. I find that this recall episode had negative effects in the resale market for automobiles that were quantitatively small (less than 2% of the vehicle’s resale value), statistically indistinguishable from zero, and short lived (did not persist beyond December 2009). A comparison with Audi’s recalls in the 1980s of vehicles with sudden unintended acceleration suggests that the extent to which a company’s reputation is established is more important than whether or not a company has a reputation for producing high‐quality products.     

The relationship between oil prices,the stock market and the exchange rate: Evidence from Mexico

This paper analyzes the variables of oil price, exchange rate and stock market index to explain how they interact with each other in the Mexican economy. The examined period includes monthly data from January 1992 to June 2017. A Vector Autoregressive Model (VAR) is implemented that includes oil prices, the nominal exchange rate, the Mexican stock market index, and the consumer price index. Results indicate that the exchange rate has a negative and statistically significant effect on the stock market index; this indicates that an appreciation of the exchange rate is related to an increase in the stock market index. It is also found that the consumer price index has a positive effect on the exchange rate and a negative effect on the stock market index. The results also indicate that oil prices are statistically significant against the exchange rate, concluding that an increase in oil prices creates an appreciation of the exchange rate. In addition, the impulse-response functions show that the effects found tend to disappear over time.     

Determinants of European stock market integration

We analyse the determinants of stock market integration among EU member states for the period 1999–2007. First, we apply bivariate DCC-MGARCH models to extract dynamic conditional correlations between European stock markets, which are then explained by interest rate spreads, exchange rate risk, market capitalisation, and business cycle synchronisation in a pooled OLS model. By grouping the countries into euro area countries, “old” EU member states outside the euro area, and new EU member states, we also evaluate the impact of euro introduction and the European unification process on stock market integration. We find a significant trend toward more stock market integration, which is enhanced by the size of relative and absolute market capitalisation and hindered by foreign exchange risk between old member states and the euro area. Interest rate spreads and business cycle synchronisation are also significant factors in explaining equity market integration.     

Spillover effects on government bond yields in euro zone. Does full financial integration exist in European government bond markets?

This paper examines the time varying nature of European government bond market integration by employing multivariate GARCH models. We state that unlike other bond markets, in euro markets the default(credit) risk factor and other macroeconomic and fiscal indicators are not able to explain the sovereign bond yields after the beginning of monetary union. This fact might be counted as a signal for perfect financial integration. However, we also find that the global shocks affect Germany and the rest of euro bond markets in various levels, creating particular discrepancies in asset prices even we take into account the market specific factors. Different level responses of each euro market to the global shocks reveal that euro bond markets are not fully integrated with each other unlike the recent literature claimed. Besides, we explore that the global factors are effective for the volatility of yield differentials among euro government bonds.     

The impact of oil prices and the financial market on cost efficiency in the insurance and Takaful sectors: Evidence from a stochastic frontier analysis

The Gulf Cooperation Council’s (GCC) insurance industry, including conventional insurance and Takaful, has witnessed remarkable growth during the last decade. However, the economies of this region rely on oil as the primary stream of revenue and lack development in financial markets. This could affect the insurance industry. For this reason, this paper examines the impact of oil prices and the financial market on the cost efficiency of the insurance and Takaful sectors in GCC countries using a stochastic frontier cost function with data from 2009–2016. The results show that the relationship between oil prices and efficiency changes from positive to negative when the prices increase, whereas the relationship between the financial market and efficiency is negative. No clear evidence of the impact of oil prices on efficiency arises from the differences between conventional insurance and Takaful. However, there are differences regarding the financial market, with a negative impact on conventional insurance and a positive one on the Takaful business. The results of this study have implications for regulators and management. The Takaful industry is rapidly growing compared to conventional insurance in the GCC and, therefore, the financial market may have added benefits for the GCC region. However, caution is required in relation to the impact of the financial market on conventional insurance. Furthermore, management may require the development of strategies to deal with the nature of GCC economies to avoid shocks to oil prices.     

Cross-border restaurant price and exchange rate interactions

Purchasing power parity suggests that international price ratios for identical goods should approximate nominal exchange rates for the currencies in which the prices are denominated. Deviations of the price ratios from exchange rates can occur for a number of reasons and mixed evidence has been recorded for how long those deviations last. Empirical evidence for international restaurant prices in El Paso, Texas and Ciudad Juarez, Mexico confirms that menu item price ratios are strongly correlated with the peso/dollar exchange rate. An earlier exploratory study of eight individual products also indicated that half-life deviations in this market are very short. This study utilizes additional data from a larger and more extensive sample to examine if the prior results are confirmed.     

浅析企业利用金融衍生工具管理外汇风险

2012年4月16日起,人民币兑美元汇率波动幅度由千分之五扩大至百分之一;未来一段时期人民币兑美元双向波动态势将进一步增强,企业所面临的外汇风险的管理难度将增大。如何增强外汇风险管理的能力已经成为每个企业的首要任务,而金融衍生工具的使用是企业规避外汇风险、加强外汇风险管理的重要方法之一。本文通过分析企业利用金融衍生工具管理外汇风险存在的问题,探究其原因,最后提出解决问题的方法。     

Is a co-jump in prices a sparse jump?

Systematic co-jumps in asset prices are generally thought to account for only a small proportion of overall jumps. In actual observations, however, jumps in asset prices are often persistent, and the time of persistence varies. In this context, we develop a new rule to identify co-jumps and improve traditional tests by considering different sampling frequencies and different sampling starting points to re-evaluate the occurrence rate of systematic co-jumps in financial assets. We conduct a simulation experiment to show that the current test procedures generally underestimate the number of co-jumps when considering persistence, but that the proposed procedure can identify co-jumps more accurately. We also perform an empirical analysis using price data from the Shanghai 50 Index and its 25 constituent stocks in China’s stock market. The average proportion of systematic co-jumps detected by the improved s-BNS is approximately 30%, which shows that the co-jump and even the systematic co-jump are not sparse jumps. The results also reveal the shortcomings of traditional jump tests in estimating persistent jumps and demonstrate that the proposed method can better detect the possible nondiversifiable risks between market indices and their constituent stocks, thereby contributing to financial risk management.     

Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis

This study examines the effects of oil prices and exchange rates on stock market returns in BRICS countries (Brazil, Russia, China, India and South Africa) from a time–frequency perspective over the period 2009–2020. We use wavelet decomposition series to develop a threshold rolling window quantile regression to detect time–frequency effects at various scales. The empirical results are as follows. First, our findings confirm that the effects of both crude oil prices and exchange rates on BRICS stock returns are asymmetric. Positive shocks of crude oil have a greater impact on a bull market, whereas negative shocks have a greater impact on a bear market. Second, there is a short-term enhancement effect of crude oil and exchange rate on BRICS stock markets. In addition, volatility in the macro financial environment also exacerbates the impacts of oil prices and exchange rates on the stock market, and these fluctuations are heterogeneous. Overall, these findings provide useful insights for international investors and policy makers.     

The impact of the shutdown policy on the asymmetric interdependence structure and risk transmission of cryptocurrency and China’s financial market

By taking Bitcoin, Litecoin, and China’s gold and RMB/US dollar exchange rate market as research objects, this paper apply the MF-ADCCA and time-delayed DCCA methods to study the impact of China’s mainland shutdown of cryptocurrencies trading on the non-linear interdependent structure and risk transmission of cryptocurrencies and its financial market. Empirical results show that the cross-correlation between cryptocurrencies and China’s financial market has a long memory and asymmetric multifractal characteristics. After the shutdown, the long memory between cryptocurrencies and Chinese gold has weakened, and the long memory between cryptocurrencies and the RMB/US dollar exchange rate market was strengthened. China’s shutdown policy has a certain risk prevention effect. Specifically, after the implementation of the policy, the risk transmission of cryptocurrencies to China’s financial market has weakened, but the influence of China’s financial market has gradually strengthened.     

The political economy of housing prices: Hedonic pricing with regression discontinuity

This paper uses hedonic pricing to empirically estimate the value of publicly provided local goods and services in the constituencies of the ruling party relative to those of the opposition parties. To improve control for omitted variables that change smoothly over space, we use a regression discontinuity design to restrict the sample to houses that are near the electoral boundaries. Using resale market prices of public flats in Singapore, in some cases we find a moderate but highly statistically significant difference in housing prices across the electoral boundaries that separate the constituencies of the ruling party and the opposition parties.     

The Macro Impacts of Public Resold Dwellings on Private Housing Prices in Singapore

In Singapore, the public resale housing market is an actively traded public owner occupier housing market succeeding to the heavily regulated new public owner occupier housing sector, in which the new public housing units are sold at a heavily subsidized price. The resale market was originally aimed at facilitating consumer housing choices and harnessing the greater efficiency of market mechanism in the delivery of public housing. However, it also became a vehicle for many Singaporeans to upgrade to private housing. This raises the concerns of its impacts on the private housing market as well as the equitable distribution of public resources. This paper first analytically reviews the retrospect of Singapore housing system, then empirically studies the impacts of public resold dwellings on the private housing prices, probing the links between the public resale market and the private housing market as well as the implications on the equitable distribution of public resources.     

The transmission of US economic policy uncertainty shocks to Asian and global financial markets

This paper proposes a novel approach to investigating the spillover effects of US economic policy uncertainty shocks on the global financial markets. Employing a factor-augmented vector autoregression (FAVAR), we model US economic policy uncertainty jointly with the latent factors extracted from equity prices, exchange rates, and commodity prices. We find that US economic policy uncertainty affects these factors significantly. A country-level analysis shows heterogeneous responses to an increase in US economic policy uncertainty. With regard to equities, US economic policy uncertainty adversely affects equity prices. However, its impact on the Chinese equity market is relatively small. As for foreign exchange markets, while many currencies depreciate in response to an increase in US economic policy uncertainty, the US dollar and the Japanese yen appreciate, reflecting their safe-haven status. The Chinese yuan, whose nominal exchange rate is closely linked to the US dollar, also appreciates in response to uncertainty shocks.     

Systemic liquidity contagion in the European interbank market

Systemic liquidity risk, defined by the International Monetary Fund as “the risk of simultaneous liquidity difficulties at multiple financial institutions,” is a key topic in financial stability studies and macroprudential policy-making. In this context, the complex web of interconnections of the interbank market plays the crucial role of allowing funding liquidity shortages to propagate between financial institutions. Here, we introduce a simple yet effective model of the interbank market in which liquidity shortages propagate through an epidemic-like contagion mechanism on the network of interbank loans. The model is defined by using aggregate balance sheet information of European banks, and it exploits country and bank-specific risk features to account for the heterogeneity of financial institutions. Moreover, in order to obtain the European-wide topology of the interbank network, we define a block reconstruction method based on the exchange flows between the various countries. We show that the proposed contagion model is able to estimate systemic liquidity risk across different years and countries. Results suggest that our effective contagion approach can be successfully used as a viable alternative to more realistic but complicated models, which not only require more specific balance sheet variables with high time resolution but also need assumptions on how banks respond to liquidity shocks.

     

Does financial integration affect real exchange rate volatility and cross-country equity market returns correlation?

Existing empirical studies show that financial integration affects the behavior of average excess returns, cross-country equity market returns (EMR) correlations and real exchange rate (RER) volatility. We employ a recently developed two-country model with recursive preferences, frictionless and complete markets and highly correlated long-run innovations to examine whether full financial integration (i.e. full risk-sharing) affects the US-Canada EMR correlation and the US RER volatility, consistently with existing empirical findings. First, full risk-sharing gives rise to a relatively high RER volatility. Second, it induces very strong positive cross-country EMR correlations. Both quantities are higher than those observed in the US-Canada asset pricing data, and increase as the risk-sharing incentive increases. In contrast, “international consumption quantities” are weakly sensitive to changes in the level of aversion to consumption and utility risk.     

外国超市投资中国市场的财务风险分析与管理

本文针对投资中国市场的外国超市在中国市场可能面临的主要财务风险结合中国的宏观经济环境进行了分析,着重分析了除所有投资都要面临的一般财务风险外,作为进入中国市场的外国超市,还将面临的由于不同的经济环境而产生的汇率风险、利率风险、价格制定风险和通货膨胀风险,并针对这四种风险提出了相应的解决措施。     

Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets

The Chinese renminbi (RMB) has been on the way of becoming a major international currency. This paper examines the impact of the RMB exchange rate regime and policy on the integration and information flows between RMB onshore and offshore markets. We employ a long sample of daily data encompassing multiple times of RMB exchange rate regime change (peg to managed float in 2005, re-peg in 2008, re-float in 2010, and the central parity reform in 2015), and study the dynamic conditional correlations and spillovers between RMB onshore spot market and offshore non-deliverable forward (NDF) market. It is found that the switch from exchange rate peg to managed float and a widening of the floating band strengthen cross-market correlation and information flows (especially offshore-to-onshore spillovers). A market-learning explanation is offered for the observation that the correlation collapse in the re-peg period was not as prompt as the correlation take-off in the 2005 reform period. These findings have important implications for China’s monetary and foreign exchange policies and shed light on the integration of China’s financial markets with the rest of the world.     

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.     

Currency depreciation effects on ADR returns: evidence from Latin America

We use seemingly unrelated regressions (SUR) and multivariate regression models (MVRM) in a panel sample of 74 American depository receipts (ADR) programs from Argentina, Brazil, Chile, and Mexico during the period May 1994 to May 2009 to analyze the behavior of ADR returns during the 300-day period surrounding the currency crises breakdown in the originator??s country. Controlling for the underlying stock and local and host country equity indices, we find that ADRs generate significant negative abnormal returns during currency crises, due to translation exposure. Abnormal returns remain statistically significant even in crises triggered by currency depreciations as small as 3.6%. The results persist after including exchange rate returns as a control variable and after an orthogonalization procedure of exchange rate against local country indices. In agreement with ADR literature, our results show that ADR prices are determined primarily by the underlying stock, exchange rates, and host country index, in that order. Moreover, we observe how market integration has become evident in more recent times as the coefficients for the U.S. stock market have increased its contribution to ADR price discovery.