scholarly journals Barrier Options Model for Agricultural Commodity Price Protection

Jurnal Varian ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 71-78
Author(s):  
Gilang Primajati ◽  
M Najib Rodhi ◽  
Adrian Juniarta Hidayat

Application of barrier options for determining insurance premiums for agricultural commodity prices due to lower selling prices by applying certain barrier levels. In determining the price of insurance premiums for agricultural commodity prices such as rice, the price is assumed to follow the Brown Geometric Motion and for the determination of the barrier level line the researcher uses the Brown Bridge Motion so that there is a relationship between Bridge and Barrier. In conclusion, we obtain a model to determine the number of insurance premiums. The barrier option model approach is used to construct a fairer formula for insurance premiums on agricultural commodity prices.

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Xi-Xi Zhang ◽  
Lu Liu ◽  
Chi-Wei Su ◽  
Ran Tao ◽  
Oana-Ramona Lobonţ ◽  
...  

We employ the generalized supremum augmented Dickey–Fuller test to examine whether there are multiple bubbles in Chinese agricultural commodities. The proposed approach is suitable for time series data and identifies the origination and termination of multiple bubbles. The results indicate the existence of bubbles for some agricultural commodity prices, such as garlic, ginger, corn, and wheat prices, that deviate from their intrinsic values upon market fundamentals. The bubbles in the garlic and ginger market are related to speculative activities. The other bubbles, in the corn and wheat market, are associated with the rising oil price, international market, and the negative effect of stockpiling policy. The authorities should recognize bubbles and observe their evolutions, leading to Chinese agricultural commodity price stabilization. These findings suggest corresponding measures to be implemented. China should establish a unified market information release platform to avoid speculative activities and formulate a market-oriented agricultural policy to enhance competitiveness among the international markets.


2009 ◽  
Vol 41 (2) ◽  
pp. 521-528 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo

This study examines the short- and long-run effects of changes in macroeconomic variables—agricultural commodity prices, interest rates and exchange rates—on the U.S. farm income. For this purpose, we adopt an autoregressive distributed lag (ARDL) approach to cointegration with quarterly data for 1989–2008. Results show that the exchange rate plays a crucial role in determining the long-ran behavior of U.S. farm income, but has little effect in the short-run. We also find that the commodity price and interest rate have been significant determinants of U.S. farm income in both the short- and long-run over the past two decades.


2016 ◽  
Vol 10 (3) ◽  
pp. 7
Author(s):  
Gastón S. Milanesi

<p><strong>Resumen</strong></p><p>Asimilar el valor del patrimonio como una opción de compra sobre los activos permitió desarrollar un conjunto de modelos dinámicos para predecir fracasos financieros empresariales. No obstante, el concepto presenta una importante debilidad: la relación directa y positiva entre valor del capital (prima) y el nivel de volatilidad del activo subyacente. El razonamiento anterior indica que a mayor riesgo de la firma mayor debe ser su valor, lo que conduce a una lógica inconsistente para estimar probabilidades de fracasos financieros. Las opciones denominadas “exóticas barreras” constituyen un modelo alternativo para predecir dificultades financieras y su estructura se ajusta mejor a la relación valor-volatilidad en las empresas. El trabajo propone un modelo de opción barrera “operativo”, ya que simplifica la estimación de las inobservables variables: valor y riesgo del activo. Primero, se desarrolló formalmente los modelos de opción de compra simple y opción barrera para valorar el patrimonio de la firma y la estimación de probabilidades de fracaso financiero. Con un caso hipotético, se propuso un ejercicio de sensibilidad sobre volatilidades y plazos. Similar ejercicio se aplicó a dos firmas de capitales argentinos con diferentes grados de endeudamiento, gracias al cual se confirmó la consistencia entre volatilidad-valor-probabilidad de fracasos financieros del modelo propuesto. Finalmente se exponen las principales conclusiones.</p><p> </p><p> </p><p><strong>Abstract</strong></p><p>Assimilation of the capital value as a call option over firm’s assets allows to develop a group of dynamic models to predict corporate financial distress. However, the concept shows an important weakness: the direct and positive relationship between the capital value (call) with the level of underlying’s volatility. This reasoning indicates that the higher the risk is, the higher the value must be for the firm, leading to a weak rationality, in particular to estimate probabilities of financial distress. The exotic barrier options make an alternative approach for predicting financial distress, and its structure fits better to the firm valuevolatility relationship. The paper proposes a “naive” barrier option model, because it simplifies the estimation of the unobservable variables, like firm asset’s value and risk. First, a simple call and barrier option models are developed in order to value the firm’s capital and estimate the financial distress probability. Using an hypothetical case, it is proposed a sensibility exercise over period and volatility. Similar exercise is applied to estimate the capital value and financial distress probability over two firms of Argentinian capitals, with different leverage degree, confirming the consistency in the relationship between volatility-value-financial distress probability of the proposed model. Finally, the main conclusions are shown.</p>


2018 ◽  
Vol 3 (3) ◽  
pp. 288-302
Author(s):  
János Szenderák

The aim of this article is to compare the clusters formed by the correlation distances between the agricultural and the energy commodity price returns in different periods of time. The energy and agricultural markets have become more interlinked in the past ten years, which can be attributed partly to the increased usage of biofuels. According to the results of this research, after the global financial and economic crisis of 2008/09, the relationship has become tighter between the agricultural commodity prices and the price of the crude oil. Based on the hierarchical clustering, the relationship between crude oil and sugar, and especially between crude oil and vegetable oils has become stronger. These results support the hypothesis of a more interconnected agricultural and energy market after 2013. Furthermore, the emerged relationship of crude oil with the vegetable oils may indicate the connecting role of biofuels, since biofuels require agricultural input materials, partly vegetable oils. However, the role of biofuels in the present analysis requires further researches.


2015 ◽  
Vol 53 (2) ◽  
pp. 377-378

Finn Tarp of UNU-WIDER and University of Copenhagen reviews “The Economics of Food Price Volatility”, by Jean-Paul Chavas, David Hummels, and Brian D. Wright. The Econlit abstract of this book begins: “Nine papers, plus nine comments, present and assess recent research on central issues related to recent food price volatility. Papers discuss influences of agricultural technology on the size and importance of food price variability; corn production shocks in 2012 and beyond─implications for harvest volatility; biofuels, binding constraints, and agricultural commodity price volatility; the evolving relationships between agricultural and energy commodity prices─a shifting-mean vector autoregressive analysis; the question of bubble troubles─rational storage, mean reversion, and runs in commodity prices; bubbles, food prices, and speculation─evidence from the Commodity Futures Trading Commission's daily large trader data files; food price volatility and domestic stabilization policies in developing countries; food price spikes, price insulation, and poverty; and trade insulation as social protection.” Chavas is Anderson-Bascom Professor of Agricultural and Applied Economics at the University of Wisconsin-Madison. Hummels is Professor of Economics in the Krannert School of Management at Purdue University. Wright is Professor of Agricultural and Resource Economics at the University of California at Berkeley.


2017 ◽  
Vol 49 (1) ◽  
pp. 83-96 ◽  
Author(s):  
AITBEK AMATOV ◽  
JEFFREY H. DORFMAN

AbstractThis article examines the relationship between Federal Reserve monetary policy and other macroeconomic indicators to both a broad commodity price index and an agricultural commodity price index by employing a vector error correction model. Excessive liquidity and the recent long period of ultralow interest rates appear to have played a statistically significant role in affecting prices in the commodities markets. The responses of commodity prices to monetary policy that we estimate generally conform to earlier findings, but the sensitivity of the responses appears different in the face of the unprecedented scope of recent Fed activism.


2018 ◽  
Vol 14 (13) ◽  
pp. 240
Author(s):  
Saheed Zakaree S. ◽  
Alexander A.A. ◽  
Isa Abdulmumin A. ◽  
Adeneye O.A.

Low investment in the agricultural sector, as well as problem of financing are among the major challenges hindering farmers in the rural areas engaging in mechanized farming that might increase food supply, and thereby checking the agricultural commodity prices, and possibly creating more job opportunity in the agricultural sector. In an effort to meet the food supply for the growing population of the country, the government introduced various policies aimed at achieving self-sufficiency in basic food supply, among these policies is the Anchor Borrower Programme. This study examines the impact of Anchor Borrower Program on agricultural commodity price and employment generation in Kebbi state, Nigeria. Data were collected through interview and structured questionnaire administered to a sample of 400 farmers in Argungu L.G.A, of which 360 questionnaire were correctly filled and returned. A multiple regression analysis was used to analyse the data. The results reveal that Anchor Borrower Programmes (ABP) supports for farmer have a positive and statistically significant impact on agricultural commodity price (ACP) and employment generation (EMPG) in agricultural sector in Kebbi state, particularly in Argungu LGA. Based on the findings of this study, it is recommended that anchor borrower programme policy in Nigeria should be encouraged and subjected to periodic review so as to provide more platforms for employment generation and stabilize agricultural commodity price in Kebbi state, particularly in Argungu LGA.


Author(s):  
Algirdas Justinas Staugaitis ◽  

Motivated by agricultural commodity price fluctuations and spikes in the last decade, we investigate whether financial speculation destabilizes the price of agricultural commodities. The aim of this research is to assess the impact of financial speculation on agricultural commodity price volatility. In our study we use weekly returns on wheat, soybean and corn futures from Chicago Mercantile of Exchange. To measure this impact, we apply autoregressive conditional heteroskedasticity (ARCH) technique. We also propose a model with seasonal dummy variables to measure if financial speculation impact on price volatility differs among seasons. The results of our research indicate that financial speculation as an exogenous factor has either no effect or reduces the volatility of the underlying futures prices. Therefore, we conclude that the increase of non-commercial market participants does not make the agricultural commodity prices more volatile or this link is at least questionable.


Author(s):  
Michal Čermák

The problem of price fluctuation is crucial to the concept of financial engineering nowadays. The aim of this paper is twofold; first to investigate the leverage effect of the main agricultural commodities – wheat and corn, i. e. the relationship between monetary returns and the volatility of commodity prices and, secondly to capture their stochastic volatility by forming an appropriate model. The data are considered as ‘post‑crisis’ data. That means the period after the biggest shock to the world economy. Thus, the Constant Elasticity of Variance (CEV) model is used calibrated to the Generalized Method of Moments (GMM). The paper is briefly based on the research of Geman and Shih (2009), who propose an extension in capturing the leverege effect in the commodity market. Their results show a positive relationship between commodity price returns and the volatility in both the corn and wheat derivative market. According to these results, corn futures prices are characterized significantly under the CEV model. On the other side in the wheat futures market exists a driftless condition by using stochastic volatility models.


2020 ◽  
Vol 23 (3) ◽  
pp. 391-409
Author(s):  
Xiaoyu Zhang ◽  
Yongfu Liu

The correlation between Chinese and international commodity prices may be nonlinear because of China’s minimum agricultural commodity purchase price policy and temporary storage policy. In order to research this nonlinear dynamic correlation mechanism, we construct a nonlinear Granger causality test model and a nonlinear autoregressive distribution lag model including Chinese and international agricultural commodity (soybean, corn, rice, and wheat) price variables. Our empirical results reveal that a unidirectional causal relation exists between international and Chinese prices for soybeans and corn; specifically, international prices of soybeans and corn Granger-cause Chinese prices of soybeans and corn. Moreover, the pass-through effects between Chinese and international commodity prices are asymmetric; Chinese agricultural commodity prices respond more strongly to positive shocks than negative shocks of international agricultural commodity prices.


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