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The purpose of this paper is to measure the effectiveness of the hedging with futures currency contracts. Measuring the effectiveness of hedging has become mandatory for Indian companies as the new Indian accounting standards, Ind-AS, specify that the effectiveness of hedges taken by the companies should be evaluated using quantitative methods but leaves it to the company to choose a method of evaluation.

The paper compares three models for evaluating the effectiveness of hedge – ordinary least square (OLS), vector error correction model (VECM) and dynamic conditional correlation multivariate GARCH (DCC-MGARCH) model. The OLS and VECM are the static models, whereas DCC-MGARCH is a dynamic model.

The overall results of the study show that dynamic model (DCC-MGARCH) is a better model for calculating the hedge effectiveness as it outperforms OLS and VECM models.

The new Indian accounting standards (Ind-AS) mandates the calculation of hedge effectiveness. The results of this study are useful for the treasurers in identifying appropriate method for evaluation of hedge effectiveness. Similarly, policymakers and auditors are benefitted as the study provides clarity on different methods of evaluation of hedging effectiveness.

Many previous studies have evaluated the efficiency of the Indian currency futures market, but with rising importance of hedging in the Indian companies, Reserve Bank of India’s initiatives and encouragement for the use of futures for hedging the currency risk and now the mandatory accounting requirement for measuring hedging effectiveness, it has become more relevant to evaluate the effectiveness of hedge. To the authors’ best knowledge, this is one of the first few papers which evaluate the effectiveness of the currency future hedging.

We examine whether the hedging effectiveness of crude oil futures is affected by asymmetry in the return distribution by applying tail-specific metrics to compare the hedging effectiveness of both short and long hedgers. The hedging effectiveness metrics we use are based on lower partial moments (LPM), value at risk (VaR) and conditional value at risk (CVaR). Comparisons are applied to a number of hedging strategies including ordinary least square (OLS), and both symmetric and asymmetric GARCH models. We find that OLS provides consistently better performance across different measures of hedging effectiveness as compared with GARCH models, irrespective of the characteristics of the underlying distribution.

Corporate treasurers manage the currency risk of their organization by hedging through futures contracts. The purpose of this paper is to evaluate the effectiveness of hedging by US currency futures contracts by taking into account the efficiency of the currency market.

The static models for calculating hedge ratio are as popular as dynamic models. But the main disadvantage with the static models is that they do not consider important properties of time series like autocorrelation and heteroskedasticity of the residuals and also ignore the cointegration of the market variables which indicate short-run market disequilibrium. The present study, therefore, measures the hedging effectiveness in the US currency futures market using two dynamic models – constant conditional correlation multivariate generalized ARCH (CCC-MGARCH) and dynamic conditional correlation multivariate GARCH (DCC-MGARCH).

The study finds that both the dynamic models used in the study provide similar results. The relative comparison of CCC-MGARCH and DCC-MGARCH models shows that CCC-MGARCH provides better hedging effectiveness result, and thus, should be preferred over the other model.

The findings of the study are important for the company treasurers since the new updated Indian accounting standards (Ind-AS), applicable from the financial year 2016–2017, make it mandatory for the companies to evaluate the effectiveness of hedges. These standards do not specify a quantitative method of evaluation but provide the flexibility to the companies in choosing an appropriate method which justifies their risk management objective. These results are also useful for the policy makers as they can specify and list the appropriate methods for evaluating the hedge effectiveness in the currency market.

Majorly, the studies on Indian financial market limit themselves to either examining the efficiency of that market or to evaluate the effectiveness of the hedges undertaken. Moreover, most of such works focus on the stock market or the commodity market in India. This is one of the first studies which bring together the concepts of efficiency of the market and effectiveness of the hedges in the Indian currency futures market.

The use of weather derivatives is impaired with a basis risk which diminishes the hedging effectiveness and hinders the distribution of these risk management instruments in the agricultural sector. A frequently suggested approach to reduce the basis risk is the use of mixed indices composed of several weather variables. The purpose of this paper is to compare the hedging effectiveness of a simple temperature‐based and a simple precipitation‐based weather derivative with that of a derivative based on a mixed index of two weather variables.

The basis of this comparison are empirical yield time series of the winter wheat production of 32 farms located in central Germany, as well as daily temperature and precipitation data collected by selected weather stations over several years. Insurance is structured as an option on an accumulated weather index and priced by index‐value simulation. In addition, the bootstrapping method is used to improve statistical reliability. The hedging effectiveness is measured non‐parametrically regarding the relative reduction of the standard deviation of winter wheat revenues caused by using weather derivatives.

The results reveal that mixed index‐based weather derivatives have a significantly higher potential to reduce the risk of winter wheat revenues than simple index‐based weather derivatives. However, using mixed index‐based weather derivatives does not lead to a significantly higher hedging effectiveness than the simultaneous use of several simple index‐based weather derivatives. Moreover, simple index‐based weather derivatives may more easily raise the interest of other industries which could serve as potential trading partners for the agricultural sector.

The authors analyzed the hedging effectiveness of weather derivatives based on simple and mixed indices with regard to the production of winter wheat in Central Germany. To confirm that the present results are generalizable, further research is required for other types of production apart from winter wheat cultivation and with respect to other regions besides Germany.

The focus and results of the present study are very relevant for farmers as well as for potential providers of weather derivatives. The results reconfirm that weather derivative providers should better offer different weather derivatives based on a simple index than complex derivatives that are based on a mixed index.

To the best of the authors' knowledge, this paper is the first that provides a comparative impact analysis of simple and mixed index‐based weather derivatives conducted for real individual farms with regard to their hedging effectiveness.

Since the 1990s, there has been a discussion about the use of weather index‐based insurance, also called weather derivatives, as a new instrument to hedge against volumetric risks in agriculture. It particularly differs from other insurance schemes by pay‐offs being related to objectively measurable weather variables. Due to the absence of individual farm yield time series, the hedging effectiveness of weather index‐based insurance is often estimated on the basis of aggregated farm data. The authors expect that there are differences in the hedging effectiveness of insurance on the aggregated level and on the individual farm‐level. The purpose of this paper is to estimate the magnitude of bias which occurs if the hedging effectiveness of weather index‐based insurance is estimated on aggregated yield data.

The study is based on yield time series from individual farms in central Germany and weather data provided by the German Meteorological Service. Insurance is structured as put‐option on a cumulated precipitation index. The analysis includes the estimation of the hedging effectiveness of insurance on aggregated level and on individual farm‐level. The hedging effectiveness is measured non‐parametrically regarding the relative reduction of the standard deviation and the value at risk of wheat revenues.

Findings indicate that the hedging effectiveness of a weather index‐based insurance estimated on aggregated level is considerably higher than the realizable hedging effectiveness on the individual farm‐level. This refers to: hedging effectiveness estimated on the aggregated level is higher than the mean of realized hedging effectiveness on the individual farm‐level and almost every evaluated individual farm in the analysis realizes a lower hedging effectiveness than estimated on the aggregated level of the study area. Nevertheless, weather index‐based insurance designed on the aggregated level can lead to a notable risk reduction for individual farms.

To the authors’ knowledge, this paper is the first that analyzes the influence of crop yield aggregation with regard to the hedging effectiveness of weather index‐based insurance.

The purpose of this study is to investigate hedging effectiveness of KOSPI200 index futures and options using three measures proposed by Fishburn (1977), Ederington (1979), and Howard and D’Antonio (1987). The comparison of hedging effectiveness is conducted based on the market prices of KOSPI200 index futures and options traded in Korea Exchange (KRX) between January of 2001 and January of 2011, during which bootstrapping method is utilized to make a dataset of 100,000 random samples with holding period of 1, 3, 6, and 12 months, respectively. We examine the hedging performance of hedge portfolios made of short futures, protective puts and covered calls respectively based on three hedging effectiveness measures.

One of our finding is that short futures hedging is better than options in minimizing total volatility risk as well as down-side risk, which is consistent to the previous researches. Also futures hedging is more effective in reducing the VaR than the others. Secondly, the optimal hedge ratios of futures in minimizing total risk and down-side risk are turned out to be 0.97~0.98 and 0.94~0.95 respectively. Third, OTM short call hedge is the best hedging instrument when hedgers would like to maximize the Sharpe ratio. Finally, protective put hedging strategy is in general inferior to the short futures and covered call hedge based on three hedging effectiveness measures.

Maize production in China is exposed to pronounced yield risks, in particular weather risk, which is one of the most important and least controllable sources of risk in agriculture. The purpose of this paper is to analyze the extent to which weather index-based insurance can contribute to reducing the revenue risk in maize production caused by yield variations. An average farm producing maize is analyzed for each of eight Chinese provinces, six of which are part of the Northern Plains of China.

Data are based on the Statistical Yearbook of China and the Chinese Meteorological Administration. The used method of insurance pricing is burn analysis. Hedging effectiveness of precipitation index-based insurance is measured by the relative reduction of the standard deviation (SD) and the Value at Risk of maize revenues.

Results reveal that precipitation index-based insurance can cause a reduction of up to 15.2 percent of the SD and 38.7 percent of the Value at Risk with a 90 percent confidence level of maize revenues in the study area. However, there are big differences in the hedging efficiencies of precipitation index-based insurance measured at different weather stations in the various provinces. Therefore, it is recommended for insurance providers to analyze the hedging effectiveness of weather index-based insurance with regard to the geographical location of their reference weather station if they would like to offer weather index-based insurance products.

The absence of individual, long-term yield data in the study area prevents the evaluation of risk on individual farms. Thus, the hedging effectiveness can only be analyzed on an aggregated level of yield data and can rather be modeled for an average farm of a particular province.

To the author's knowledge, this paper is the first that investigates the hedging effectiveness of precipitation index-based insurance designed for reducing revenue risk of maize production in eight Chinese provinces.

Exposure risk managers can hedge exchange rate risk with either currency futures or currency options. It is generally suggested that hedgers should choose a hedge instrument that matches the risk profile of the underlying currency position as closely as possible. This advice, however, ignores the possibility that the hedging effectiveness may differ for the alternate risk management tools. This study compares the effectiveness of currency futures and currency options as hedging instruments for covered and uncovered currency positions. Based on Ederington's portfolio theory of hedging, the results show that currency futures provide the more effective covered hedge, while currency options (used to construct a synthetic futures contract) are more effective for an uncovered hedge. Hence, exposure risk managers do not have to sacrifice hedging effectiveness to obtain the desired risk profile. Corporations engaged in international business transactions are commonly exposed to exchange rate risk. Since management is concerned with currency exposure, it can hedge the anticipated exchange rate risk either with futures or options. The choice of the appropriate hedging tool is generally influenced by the type of currency exposure (transaction, translation, or economic risk), the size of the firm, the industry effect, the risk preference of the manager or the firm and his/her familiarity with the available financial instruments and techniques. It is also suggested that a hedger should choose a hedge instrument that matches the risk profile of the underlying currency position as closely as possible. Hence, futures contracts are more suitable for covered hedges, while option contracts are best used for uncovered hedges. Hedging effectiveness of these two hedge instruments must be considered as well in order to evaluate the cost of obtaining the desired risk profile. Some empirical research has shown that the futures contract provides both an appropriate risk profile and a more effective hedge than an options contract for covered positions. If these findings also hold for uncovered currency positions, then the hedging decision involves a trade‐off between the desired risk profile and hedging effectiveness. That is, a hedger would have to decide whether the extra risk protection afforded by the attractive risk profile of options is worth the loss in hedging performance. This study compares the hedging effectiveness of currency futures and currency options for both covered and uncovered positions. Ederington's risk‐minimizing approach is applied to estimate the hedging effectiveness and the least risk hedge ratios which, in turn, are used to assess the trade‐off between risk profile and hedging performance.

The purpose of this paper is to analyze the role of four different incentives in improving hedging effectiveness and propose an alternative regulatory mechanism for China’s futures market.

The research method that this study uses is a laboratory experiment, and this study follows the basic norms of experimental research. In addition, this paper designs and conducts a game experiment between hedgers and futures brokerage firms (FBFs) under different incentive mechanisms.

By analyzing the experimental data, it is found that compared with other incentive mechanisms, hedgers’ willingness to hedge and FBFs’ regulatory intention are both significantly higher for the dynamic linkage updating mechanism, indicating that hedgers have a stronger willingness to follow their hedging plan, and FBFs are more responsible for their regulatory behaviors. Additionally, the dynamic linkage updating mechanism has a long-term impact on effective hedging in the futures market.

The findings suggest that the dynamic linkage updating mechanism is beneficial for effectively restricting both hedgers’ over-speculation and FBFs’ regulatory slack and improving the hedging efficiency of the futures market.

To solve the problem of inefficient hedging in China’s futures market, i.e., hedgers’ over-speculation and FBFs’ passive collusion with hedgers, the regulators of China’s futures market should reform the existing incentives and adopt a dynamic linkage updating mechanism to encourage all the participants to actively improve hedging effectiveness.

This paper analyzes and verifies, for the first time, the role of the dynamic linkage updating mechanism in the investing behaviors of hedgers and the regulatory behaviors of future brokerage firms. The futures market experiment that was designed and used in this study is a pioneering and exploratory experiment that applies game theory and mechanism design theory to the field of behavioral finance.

This article explores the hedging effectiveness of KIKO options by using the mean-variance analysis of Markowitz and by comparing three hedge measures such as Sharpe hedging effectiveness measure proposed by Howard and D’Antonio (1987), Fishburn (1977)’s measure, and Ederington (1979)’s. which calculates the degree to which the rate of return per unit of risk increases and total volatilty and down-side risk of hedged portfolio diminishes respectively. This paper differs from the previous researches in that this research first assumes that the firms hold the same value of dollar amount as that of short calls at each of settlement dates, and secondly this article performs multiple period of analysis instead of single period.

This paper finds first that the hedging effectiveness of KIKO options is not better than that of currency forward contract in making a reduction of the total volatility and down-side risks of hedged portfolio. Secondly the hedge effectiveness is the highest at the first settlement date but it plunges when the time passes by, which is mainly due to the fact that the value of in-the-money put decreases, but that of out-of-the-money call increases as the time to maturity increases. Thirdly, it is found that another KIKO option with the equal premium shows even better hedging performance than the original KIKO in three aspects of hedging effectiveness. In conclusion, the KIKO turns out to be a lemon.