Cointegration as an explanation for the Meese–Rogoff puzzle

Some economists suggest that the failure of exchange-rate models to outperform the random walk in exchange rate forecasting out of sample can be attributed to failure to take into account cointegration when it is present. We attempt to find out if cointegration matters for forecasting accuracy by examining the relation between the stationarity and size of the forecasting error. Results based on three macroeconomic models of exchange rates do not provide strong support for the proposition that cointegration matters for forecasting accuracy. The simulation results show that while stationary errors tend to be smaller than non-stationary errors, this is not a universal rule. Irrespective of the presence or absence of cointegration, none of the three models can outperform the random walk in out-of-sample forecasting, which means that cointegration cannot solve the Meese–Rogoff puzzle.     

Relationship between oil,stock prices and exchange rates: A vine copula based GARCH method

In this paper, we apply a vine copula approach to investigate the dynamic relationship between energy, stock and currency markets. Dependence modeling using vine copulas offers a greater flexibility and permits the modeling of complex dependency patterns for high-dimensional distributions. Using a sample of more than 10 years of daily return observations of the WTI crude oil, the Dow Jones Industrial average stock index and the trade weighted US dollar index returns, we find evidence of a significant and symmetric relationship between these variables. Considering different sample periods show that the dynamic of the relationship between returns is not constant over time. Our results indicate also that the dependence structure is highly affected by the financial crisis and Great Recession, over 2007–2009. Finally, there is evidence to suggest that the application of the vine copula model improves the accuracy of VaR estimates, compared to traditional approaches.     

Exchange rate pass-through in emerging countries: Do the inflation environment,monetary policy regime and central bank behavior matter?

In this paper, we estimate the exchange rate pass-through (ERPT) to import and consumer prices for a sample of 14 emerging countries over the 1994Q1-2015Q3 period. To this end, we augment the traditional bivariate relationship between the nominal effective exchange rate and inflation by accounting for monetary stability proxied by the inflation environment, monetary policy regime and central bank behavior. We show that both the level and volatility of inflation, as well as adopting an inflation target or the transparency of monetary policy decisions clearly reduce ERPT to consumer prices. However, uncertainty about domestic monetary policy seems less relevant in explaining the pass-through to the price of imports.     

Do terror attacks affect the dollar-pound exchange rate? A nonparametric causality-in-quantiles analysis

While much significant research has been done to study the effects of terror attacks on stock markets, less is known about the response of exchange rates to terror attacks. We suggest a non-parametric causality-in-quantiles test to study whether (relative) terror attacks affect exchange-rate returns and volatility. Using data on the dollar-pound exchange rate to illustrate the test, we show that terror attacks mainly affect the lower and upper quantiles of the conditional distribution of exchange-rate returns, while misspecified (due to nonlinearity and structural breaks) linear Granger causality test show no evidence of predictability. Terror attacks also affect almost all quantiles of the conditional distribution of exchange-rate volatility (except the extreme upper-end), with the significance of the effect being particularly strong for the lower quantiles. The importance of terror attacks is shown to hold also under an alternative measure of volatility and for an important emerging-market exchange rate as well.     

Optimal investment strategies in an international economy with stochastic interest rates

We investigate how investors should optimally choose to invest in a dynamically complete international market. We find closed-form solutions for the optimal investment strategy and for the wealth loss an investor suffers from not investing internationally. Theoretically, we show that the gain from international investment is due to the speculative investment only, and why it is important for an investor from a large economy to invest in a small economy. In a numerical example we compare the wealth losses investors from Denmark and the U.S. suffer due to home bias.     

Balance of payments accounting and exchange rate dynamics

The balance of payments is an accounting identity. Many wonder how the current and capital accounts, which add up to zero, can influence exchange rates. This paper shows how payment flows arising from balance of payments imbalances affect the demands for different currencies in the foreign exchange market over time. Based on a dynamical system approach, the paper demonstrates how international payments evolve depending on the joint dynamic behaviour of different balance of payments components. It finds that international payments and exchange rates interact in fundamentally different ways depending on whether a country restricts its capital inflows and outflows, whether capital flows are accommodating or autonomous and whether the exchange rate is fixed, flexible or, say, governed by a crawling peg. Empirical evidence from major industrial countries as well as from countries hit by currency crises support the paper's theoretical predictions.     

Risk averse retail pricing with robust demand forecasting

Good demand estimates are the key to effective pricing decision-making. However, they are subject to a high degree of uncertainty due to various factors that are unpredictable or difficult to model, thus making pricing decisions risky. This research provides a simple proposal for a robust optimization methodology that incorporates both demand uncertainty and the decision maker's degree of risk aversion. Uncertainty is explicitly considered for two coefficients of a linear demand function, price expressions are derived, and a criterion is proposed for defining the degree of risk aversion. The resulting model is also applied to an exponential demand case to better reflect a more realistic retail setting.     

中国的增加值率为什么会出现下降？——基于非竞争型投入产出框架的视角

中国经济在快速增长同时，新增价值在产出中比例不断下降。本文在非竞争型投入产出框架下，分别运用结构分解方法和迪氏指数分解方法，从不同的角度对中国的增加值率1987—2007年下降的现象进行研究。结果表明，在研究期间中国增加值率从1987年的0．480下降到2007年的0．323，下降幅度达到32．63％。从行业结构角度来看，中国增加值率的下降与我国产业结构的两次变迁有关，是工业化进程中不可避免的结果；从最终需求角度分析，初次投入结构变动以及生产过程中进口中间品比例增加是导致增加值率下降的主要原因。最后，本文还结合分析结果对提高中国经济增长质量提供了相关建议。     

递增阶梯定价:一个综述

作为较独特的非线性定价,递增阶梯定价使消费者预算凸边界非光滑,进而导致某些消费者消费决策异度集中而难以甄别。此特征致使递增阶梯定价机制的理论和实证研究非常复杂。鉴于公共资源的特殊性,公共资源定价需要合理地兼顾效率、社会公正和成本完全补偿原则。在多元化目标角度上,本文初步验证了递增阶梯定价机制的最优性,虽然此最优性受制于接入率和特征信息等假定。递增阶梯定价下的需求设定趋于统一但估计方法却趋于复杂化和多样化。关于递增阶梯定价下的(价格和收入)需求效应明显与否的问题存在完全相反的结果,实证研究和理论对其不一致性给出多种解释和探讨。这种差异性可能由于消费者对价格、价格设计者对家庭特征等信息不完全,还可能因为各实证分析结果中的时间、市场或产品特征维度含义差异所致。基于多元化目标和资源特性的递增阶梯定价机制的设计和执行问题,将成为递增阶梯定价理论研究发展的一大方向。     

Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context

Product pricing has been one of the central issues in the field of marketing and consumer services for managers and researchers alike. However, pricing of information goods has not been paid much attention in literature. For information goods the marginal costs of production and transportation of information goods (online movies, video games, etc.) is almost zero. Hence, the pricing decisions need to be thought of purely in competitive profit maximizing terms. This paper proposes mechanisms for managers to evaluate and base their pricing decisions on rational frameworks that takes into account various situations when they enter a new market and when they are incumbent in a new market. This paper addresses the research gap of spatially differentiated pricing strategy for information goods that has not been studied in literature so far. We create stylized theoretical models under both, sequential and simultaneous decision-making conditions. We determine the equilibrium price and the equilibrium profit for the two firms for each of the four possible scenarios based on their pricing strategies. Our analysis reveals that the dominance of one pricing strategy over the other depends on product differentiation factor capturing joint effect of the product substitutability and consumer's price sensitivity under sequential decision making and the market size along with consumer's price sensitivity for simultaneous decision making. As an extension, we propose a generalized model demonstrating the uniform and spatially differentiated pricing strategies of the firms under simultaneous and sequential selection for multiple domestic and international markets.