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This paper attempts to examine the transmission of exchange rate changes into the domestic prices together with other important determinants of later, in case of a developing country, namely, India.

In an open economy Philips curve framework, a symmetric model developed by Pesaran et al. (2001) together with a complete asymmetric model developed by Shin et al. (2014) has been applied to assess the transmission of exchange rate changes into the domestic prices (inflation) of India. In addition, non-linear cumulative dynamic multipliers are used to portray the route between disequilibrium position of short run and new long-run equilibrium of the system. The multipliers highlight the asymmetric adjustment paths and/or duration of disequilibrium and therefore add valuable information to the long and short-run asymmetry.

In symmetric framework, exchange rate pass-through is reported to be incomplete and short-run pass through is found to be lower than the long-run pass through. A contractionary monetary policy stance is observed to decrease inflation in the long-run only and in the short-run, a case for price puzzle is observed, although the coefficient is statistically insignificant. Similarly, the impact of output growth is positive in both the short and long-run and both the coefficients are statically significant. Finally, the oil price inflation is also found to escalate the domestic inflationary pressures in both the short and long run, although the pass-through transmission is lower in the short-run than in the long-run. In case of an asymmetric setting, evidence in favour of directional asymmetry is reported whereby long-run impact of currency appreciation is found to be higher than depreciation. Similarly, a contractionary monetary policy action lowers the inflation, the easy one increases it; however, the impact of both the positive and negative changes in interest rate is found to be symmetric. An increase in GR is found to increase the inflation by a relatively appreciable magnitude than is observed when the fall in GR is reported. The possible reason for this asymmetric response of inflation may be explained in terms of asymmetric behaviour of demand conditions during economic upturns and downturns and downward inflexibility of prices. Finally, the transmission of oil price inflation to domestic inflation is also found to be asymmetric. An increase in oil price inflation leads to an increase in domestic inflation by a higher magnitude. whereas a decrease in it lowers inflation only marginally.

From a policy perspective, it is certainly important for the central banks to monitor the exchange rate changes so as to design the appropriate policy actions to resist any inflationary pressures resulting from the external sector. More importantly, a gauge on the factors that lead to destabilizing exchange rate movements or large currency price fluctuations is highly warranted. The results also highlight the relevance of proper domestic demand management and lowering dependence on oil imports to avoid the unnecessary inflation pressures in the economy.

While some studies have explored the possibilities of asymmetric interactions in the case of India, however, these studies have considered only the partial asymmetric model specifications and have not included a well-established theoretical base to include the other potential determinants of inflation as well. In this regard, the authors applied a complete asymmetric model specification developed by Shin et al. (2014) in an open economy Philips curve framework to assess the transmission of exchange rate changes into the domestic prices (inflation) of India. This paper will enrich the existing literature from a viewpoint of a comprehensive analysis of exchange rate pass-through by taking note of potential asymmetries coupled with other important determinants of inflation.

High inflation levels remain a challenge in macroeconomic stabilization policies among developing economies. Oil price is identified as an important driver of inflation. In the wake of high and unstable international oil prices, the question regarding the relationship between inflation and crude oil prices, and its implication for economic welfare has become a fundamental empirical issue.

This question is explored by estimating a non-linear autoregressive distribution lags (NARDL) model of inflation-oil nexus that examined the asymmetric response of inflation to oil price changes. The study then derived the welfare implication of the asymmetric responses, with implications for the petroleum pricing regime in Ghana.

The study found that inflation responds asymmetrically to oil prices in the long-run but not in the short-run. The welfare cost associated with the asymmetric response increases with increasing rate.

The findings of this study have some implications for petroleum product pricing in Ghana. Recently, Ghana has moved from regulating petroleum prices to the automatic adjustment system. By this policy, petroleum prices change in tandem with the crude oil prices and exchange rates on the international market. Whiles this policy might be comparatively efficient, the evidence of asymmetric response of inflation to changes in oil prices raises some issues about the welfare effect of the policy.

The paper contributes to the literature on the inflation-oil price nexus by investigating critical questions that remain puzzling. These questions include; Does inflation respond asymmetrically to the positive and negative shock of equal magnitude in oil prices? Does inflation response to the asymmetry changes in oil prices have any implications for the welfare of the country? Is the effect of oil price changes pernicious?

The purpose of this paper is to analyze price transmission in the Chinese pork market between 1994 and 2016 and examine any incidence and causes of asymmetric price transmission.

The approach uses threshold autoregressive models, asymmetric error correction models and autoregressive moving average models to examine the price transmission using monthly pig and pork prices from 1994 to 2016.

While a symmetric price transmission between pork and pig prices was identified for the period between June 1994 and June 2007, an asymmetric price transmission response between pork and pig prices was found for the period July 2007 to June 2016. Key factors behind the asymmetric price transmission include the chicken price and China’s provisional purchasing and stockpiling policy which is having a counter-productive impact on prices.

The paper contributes to the literature by examining price transmission in two different periods: 1994 to 2007 where prices are lower and more stable; and 2007 to 2016 where prices are higher and volatile. The paper examines the impact of production and market policies on price transmission in the Chinese pork and pig market, with several policy implications.

This paper aims to investigate consumers’ demand patterns for products with nutritional benefits and products with no nutritional benefits across processed healthy and unhealthy foods. This paper integrates price changes (i.e. increases and decreases) into a demand model and quantifies their relative impact on the quantity of food purchased. First, how demand patterns vary across processed healthy and unhealthy products is investigated; second, how demand patterns vary across nutrition-benefited (NB) products and non-nutrition-benefited (NNB) products is examined; and third, how consumers respond to price increases and decreases for NB across processed healthy and unhealthy foods is investigated.

Here, a demand model quantifying scenarios for price changes in consumer food choice behaviour is proposed, and controlled for heterogeneity at household, store and brand levels.

Consumers exhibit greater sensitivity to price decreases and less sensitivity to price increases across both processed healthy and unhealthy foods. Moreover, the research shows that consumers’ demand sensitivity is greater for NNB products than for NB products, supporting our prediction that NB products have higher brand equity than NNB products. Furthermore, the research shows that consumers are more responsive to price decreases than price increases for processed healthy NB foods, but more responsive to price increases than price decreases for unhealthy NB foods. The findings suggest that consumers exhibit a desirable demand pattern for products with nutritional benefits.

Although studies on the effects of nutritional benefits on demand have proliferated in recent years, researchers have only estimated their impact without considering the effect of price changes. This paper contributes by examining consumers’ price sensitivity for NB products across processed healthy and unhealthy foods based on consumer scanner data, considering both directionalities of price changes.

The purpose of this study is to investigate how changes in the firm's information disclosure practices impact the way investors process macroeconomic news. Specifically, the authors examine the role of derivative instruments and hedging activities disclosure, as required by SFAS 133, in shaping invertors response to good and bad interest rate news. In addition, the authors examine whether the effect of SFAS 133 on investors' response to good and bad interest rate news varies between firms with higher and lower earnings volatility.

This study uses data on all US public firms over the period from 1990 to 2019. The authors mainly apply multivariate regression and a difference-in-difference approach to test their hypotheses.

The results show a significant decrease in the asymmetry of responses to good and bad interest rate news for users of interest rate derivatives following the adoption of SFAS 133. However, in contrast to this finding, the authors also find that the adoption of SFAS 133 has no impact on the asymmetry of responses to good and bad interest rate news for nonusers of interest rate derivatives. Consistent with the ambiguity theory, the finding suggests that SFAS 133 indeed decreases investors’ uncertainty (ambiguity) about the cash flow implications of changes in the interest rate. The authors also find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher than lower earnings volatility. This implies that derivatives and hedging activities disclosure, as required by SFAS 133, are more important for firms with higher than lower earnings volatility. The finding is consistent with the idea that investors demand more accounting information when underlying earnings volatility is higher. In a set of additional analyses, the authors find that the effect of SFAS 133 on investors' response to good and bad interest rate news varies depending on the level of analyst coverage and interest rate exposure. Specifically, the authors find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher interest rate exposure and lower analyst coverage.

The findings of this study help market participants including regulators and standard setters to understand the impact of mandatory disclosure practices on investors' reaction to macroeconomic news. Moreover, the findings of the study help managers to understand the influence firm-specific characteristics (e.g. earnings volatility, analyst coverage and interest rates exposure) on the effectiveness of mandatory derivative instruments and hedging activities disclosure.

To the best of the authors' knowledge, this is the first paper to explore how firm-specific information environment affects the way investors process macroeconomic news. This study contributes to the literature by providing the empirical evidence that derivatives instruments and hedging activities, as required by SFAS 133, affect investors' response to good and bad interest rate news. In doing so, the results provide insights about how firm-specific information environment affects the way investors process macroeconomic news. This study shows that the cross-sectional variation in earnings volatility, analysts’ coverage and interest rate exposure affects the impact of SFAS 133 on investors' response to good and bad interest rate news. The findings are not only the notable addition to the existing literature on the topic but also can aid to market participants including policy makers, regulators, standard setters and managers to understand the influence of firm-specific characteristics on the effectiveness of mandatory derivative instruments and hedging activities disclosure. Finally, the findings contribute to the general debate about the effectiveness of SFAS 133 by showing that the adoption of SFAS 133 indeed decreases information ambiguity.

The aim of this paper is to establish the role of asymmetric price decompositions in UK road transportation fuel demand, make explicit the impact of the underlying energy demand trend, and disaggregate the estimation for gasoline and diesel demand as separate commodities.

Dynamic UK transport oil demand functions are estimated using the Seemingly Unrelated Structural Time Series Model with decomposed prices to allow for asymmetric price responses.

The importance of starting with a flexible modelling approach that incorporates both an underlying demand trend and asymmetric price response function is highlighted. Furthermore, these features can lead to different insights and policy implications than might arise from a model without them. As an example, a zero elasticity for a price‐cut is found (for both gasoline and diesel), implying that price reductions do not induce demand for road transportation fuel in the UK.

The paper illustrates the importance of joint modelling of gasoline and diesel demand incorporating both asymmetric price responses and stochastic underlying energy demand trends.

This study aims to test the effects of forecast specificity on the asymmetric short‐window share market response to management earnings forecasts (MEF).

The paper examines a large sample of hand‐checked Australian data over the period 1994 to 2001. Using an analyst news benchmark, it estimates a series of regressions to investigate whether the short‐term impact from bad news announcements is greater in magnitude than from good news announcements and whether this differs between routine and non‐routine MEFs. Additionally, it examines whether (after controlling for news content of MEF) there is a differential market impact conditional on specificity: minimum versus maximum versus range versus point.

The results indicate that an asymmetric response is evident for the overall sample and a sub‐set of non‐routine forecasts. Contrary to predictions, the results show that forecast specificity, minimum, maximum, range and point MEFs make no additional contribution to the differences in the market reaction to bad or good news.

The study extends the research investigating the short‐run market impact of MEFs. The main element of innovation derives from the interaction between specificity and news content, as well as distinguishing between routine versus non‐routine cases. Notably, it found little support for the view that more specific forecasts elicit greater market responses. What the results do suggest is that managers appear to choose the form of the forecast to suit the news being delivered. In particular, bad news delivered in a minimum forecast seems to be ignored by the market.

Pricing is always a fundamental marketing element. In the digital marketing/e-commerce context, there are two universal phenomena: desire to micro-segment and customize, and the adverse reaction upon unfair perception of price. A third related question is how should firms consider price increases and decreases? Specifically, this paper aims to address the following three research and practice questions: What are the theoretical underpinnings of perception of fairness/unfairness in pricing, and what are the findings? What are the theoretical underpinnings of response to price increases and decreases? What should be online pricing strategy, consistent with the findings on (un)fairness perception of pricing and response to price increases and decreases?

The present approach is integrative review and critical analyses, and synthesis. The review dates back to 1960s, and is inter-disciplinary, including apposite findings in behavioral science, economics, marketing and operations management/research. The authors search for insights with significant empirical support to address these questions.

Perception of unfair price impacts consumer choice, probability of purchase, intent to buy and attitude to product/service/firm adversely. Consumers react differently to perceived unfair and fair prices. Consumers react more strongly and negatively to perceived unfair prices (compared to prices perceived to be fair) in their intent to buy and other related metrics. Consumers react differently to price increases and price decreases relative to the reference price. Consumers react more strongly to price increases than to price decreases. There is substantial heterogeneity in the magnitude of loss-aversion effect, depending on the product/service category and estimation methods.

The authors review and discuss potential viable pricing strategies. Based on the generalizable findings, this study provides actionable insights to managers for pricing in digital marketing context. Also, the authors provide useful directions for future research.

This study documents that high book‐to‐market (value) and low book‐to‐market (glamour) stock prices react asymmetrically to both common and firm‐specific information. Specifically, we find that value stock prices exhibit a considerably slow adjustment to both common and firm‐specific information relative to glamour stocks. The results show that this pattern of diferential price adjustment between value and glamour stocks is mainly driven by the high arbitrage risk borne by value stocks. The evidence is consistent with the arbitrage risk hypothesis, predicting that idiosyncratic risk, a major impediment to arbitrage activity, amplifies the informational loss of value stocks as a result of arbitrageurs’ (informed investors) reduced participation in value stocks because of their inability to fully hedge idiosyncratic risk.