Book Synopsis Filmspiegel by :
Download or read book Filmspiegel written by and published by . This book was released on 1969 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Filmspiegel by :
Modeling Transactions Costs Band And Nonlinear Price Dynamics In Forest Commodity Markets
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Book Synopsis Filmspiegel by :
Book Synopsis Modeling Transactions Costs Band and Nonlinear Price Dynamics in Forest Commodity Markets by :
Download or read book Modeling Transactions Costs Band and Nonlinear Price Dynamics in Forest Commodity Markets written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study first shows that a transactions costs band may exist in commodity spot and futures markets and spatially separated markets as a result of the arbitrage process. Then, by using a bivariate vector error correction model (VECM), this thesis shows that the null hypothesis of linearity can be rejected against the alternative of nonlinearity for both lumber spot and futures prices in U.S. and oriented strand board (OSB) prices across regions in North America. The nonlinearity is identified by a transition variable that governs switching between two regimes: one within the transactions cost band and one outside of the band. In the empirical analysis, a bivariate smooth transition vector error correction model (STVECM) is used to test market efficiency for lumber spot and futures prices and for the law of one price (LOP) as pertains to OSB prices across six regions in North America. Results support the market eficiency hypothesis and the LOP in the forest commdity markets. Furthermore, the empirical analysis suggests that when price differences surpass transactions costs by a large margin or are far away from the transactions band, a faster adjustment to the long run equilibrium is observed in part due to adjustment costs. When price differences are within the transactions band, they follow a random walk as no trade takes place. The in-sample analysis indicates that the STVECM model performs better than the linear VECM. Results from generalized impulse response functions (GIs) analysis show that system shocks may, in fact, change the time paths of prices permanently.
Author :
Publisher :
ISBN 13 :
Total Pages : 388 pages
Book Rating : 4.:/5 (318 download)
Book Synopsis Journal of Economic Literature by :
Download or read book Journal of Economic Literature written by and published by . This book was released on 2006-12 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter V. Schaeffer
Publisher : John Wiley & Sons
ISBN 13 : 0470447435
Total Pages : 442 pages
Book Rating : 4.4/5 (74 download)
Book Synopsis Commodity Modeling and Pricing by : Peter V. Schaeffer
Download or read book Commodity Modeling and Pricing written by Peter V. Schaeffer and published by John Wiley & Sons. This book was released on 2008-12-03 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Commodity Modeling and Pricing provides extensions and applications of state-of-the-art methods for analyzing resource commodity behavior. Drawing from the seminal work of Professor Walter Labys on the development of econometric methods for forecasting commodity prices, this collection of essays features expert contributors ranging from practitioners in private industry, public sector, and nongovernmental organizations to scholars in higher education–all of whom were Labys's former students or collaborators. Filled with in-depth insights and expert advice, Commodity Modeling and Pricing contains the information you need to excel in this demanding environment.
Author : Viviana Fanelli
Publisher : CRC Press
ISBN 13 : 1351730959
Total Pages : 145 pages
Book Rating : 4.3/5 (517 download)
Book Synopsis Financial Modelling in Commodity Markets by : Viviana Fanelli
Download or read book Financial Modelling in Commodity Markets written by Viviana Fanelli and published by CRC Press. This book was released on 2020-01-14 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent, assess and simulate real assets and financial positions related to the commodity markets. It discusses statistical and mathematical tools important for estimating, implementing and calibrating quantitative models used for pricing and trading commodity-linked products and for managing basic and complex portfolio risks. Key features: Provides a step-by-step guide to the construction of pricing models, and for the applications of such models for the analysis of real data Written for scholars from a wide range of scientific fields, including economics and finance, mathematics, engineering and statistics, as well as for practitioners Illustrates some important pricing models using real data sets that will be commonly used in financial markets
Author : Walter C. Labys
Publisher : Ashgate Publishing, Ltd.
ISBN 13 : 9780754646297
Total Pages : 268 pages
Book Rating : 4.6/5 (462 download)
Book Synopsis Modeling and Forecasting Primary Commodity Prices by : Walter C. Labys
Download or read book Modeling and Forecasting Primary Commodity Prices written by Walter C. Labys and published by Ashgate Publishing, Ltd.. This book was released on 2006 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis.
Author : Selin Guney
Publisher :
ISBN 13 :
Total Pages : 219 pages
Book Rating : 4.:/5 (95 download)
Book Synopsis Modeling Nonlinear Price Relationships in Commodity Markets by : Selin Guney
Download or read book Modeling Nonlinear Price Relationships in Commodity Markets written by Selin Guney and published by . This book was released on 2015 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jiachuan Tian
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (971 download)
Book Synopsis Commodity Price Dynamics by : Jiachuan Tian
Download or read book Commodity Price Dynamics written by Jiachuan Tian and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The variation of energy prices has been a traditional source of shocks to the real economy. In many cases, this variation has manifested in jumps in energy prices that were characterized by some persistence. From another perspective, energy price volatility has historically been noted and its effects on real economy debated. Historically, the importance of the shocks to the real economy has led them to be labeled as energy crises, as they were argued to have resulted in substantial changes in real prices that induced changes in behavior on the demand and supply sides of the many markets. The first chapter re-examines evidence of such a linkage by considering the transmission of energy prices into soft commodity prices. This nexus lies within the core of any real effects as softs include food-related commodities. The paper contributes to the literature by re-examining this linkage with a close eye on the role played by structural breaks within a time series and by considering the question of causality within a nonlinear framework. We find that functional form is a critical specification that conditions inference. Using linear forms, we find no cointegration between energy and food in the full sample under the maintained hypothesis that there are no structural breaks. Using linear nonparametric methods, we examine the series for structural breaks and find evidence of their importance. Based on subdivisions of the sample period as suggested by the structural break examination, within the structural break intervals identified we find evidence of cointegration. We next reconsider the issue within the context of nonlinear functional forms posing the question of whether evidence of structural breaks based on linear methods follow from underlying nonlinearity. Our results confirm the importance of functional form specification and we find evidence of nonlinear causality between energy and soft commodity prices. Empirical studies of transmission of energy prices into the real economy have been challenged by a number of significant specification issues that have resulted in substantial variation in inference drawn from results. Among these issues is the question of completeness of model specification. Chapter 2 examines the question of whether such models need to incorporate macroeconomic indicators. Clearly, macroeconomic factors such as interest rates and exchange rates play a role in the determination of energy and commodity prices, however, considerable specification uncertainty characterizes the question of which macro metrics to incorporate. We examine this issue from the perspective of weak exogeneity and find evidence that the parameter estimates associated with time series models that exclude consideration of macro indicators are not compromised by their exclusion. We examine this issue using Italian, U.S. grain, and Brent crude oil prices. While structural break, threshold and asymmetric cointegration models can allow us to characterize the linear and nonlinear dynamics in price transmission in level,it is of equal interest to differentiate across the type of price change to consider what might be thought of as typical price changes versus extreme price changes associated with either temporary structural change or mean reverting change as in what we call price jumps. In particular, while a structural break is a permanent and long-run structural shift in DGM, a jump in a series represents a sudden temporary change in the pattern of the observations generated. Such change is temporary in a sense that its effect usually diminishes rather quickly (usually in relatively few periods). That means, intuitively, in relatively short time span after a jump, the price series will revert to its mean or its long-run smooth pattern which we call the trend of the series. In Chapter 3, we present a detailed discussion of the proper representation of such price jumps and show that there are price jumps in the real-world economic price series. The last chapter is concerned with the micro-structure specification to identify origins of price jumps that can not be generally characterized by the competitive market models. In particular we propose a rather general model of procurement process where imperfectly informed buyers search for and place bids to suppliers to fulfill procurement demand. We show that in this process, search cost, market structure and market condition are crucial factors in generating price jumps. Later in the simulation part we show that the model proposed in this paper can generate jumps that resemble those in the observed economic price series. We also integrate buyers risk aversion in market conditions (though they are risk neutral in payoffs) through their personal belief and search costs. We show that buyers risk aversion increases their sensitivity to market conditions,which exaggerates price movements with presence of supply shocks.
Author : Zaizhi Wang
Publisher :
ISBN 13 :
Total Pages : 139 pages
Book Rating : 4.:/5 (819 download)
Book Synopsis Commodity Derivatives by : Zaizhi Wang
Download or read book Commodity Derivatives written by Zaizhi Wang and published by . This book was released on 2011 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Commodity prices have been rising at an unprecedented pace over the last years making commodity derivatives more and more popular in many sectors like energy, metals and agricultural products. The quick development of commodity market as well as commodity derivative market results in a continuously uprising demand of accuracy and consistency in commodity derivative modeling and pricing. The specification of commodity modeling is often reduced to an appropriate representation of convenience yield, intrinsic seasonality and mean reversion of commodity price. As a matter of fact, convenience yield can be extracted from forward strip curve and then be added as a drift term into pricing models such as Black Scholes model, local volatility model and stochastic volatility model. Besides those common models, some specific commodity models specially emphasize on the importance of convenience yield, seasonality or mean reversion feature. By giving the stochasticity to convenience yield, Gibson Schwartz model interprets the term structure of convenience yield directly in its model parameters, which makes the model extremely popular amongst researchers and market practitioners in commodity pricing. Gabillon model, in the other hand, focuses on the feature of seasonality and mean reversion, adding a stochastic long term price to correlate spot price. In this thesis, we prove that there is mathematical equivalence relation between Gibson Schwartz model and Gabillon model. Moreover, inspired by the idea of Gyöngy, we show that Gibson Schwartz model and Gabillon model can reduce to one-factor model with explicitly calculated marginal distribution under certain conditions, which contributes to find the analytic formulas for forward and vanilla options. Some of these formulas are new to our knowledge and other formulas confirm with the earlier results of other researchers. Indeed convenience yield, seasonality and mean reversion play a very important role, but for accurate pricing, hedging and risk management, it is also critical to have a good modeling of the dynamics of volatility in commodity markets as this market has very fluctuating volatility dynamics. While the formers (seasonality, mean reversion and convenience yield) have been highly emphasized in the literature on commodity derivatives pricing, the latter (the dynamics of the volatility) has often been forgotten. The family of stochastic volatility model is introduced to strengthen the dynamics of the volatility, capturing the dynamic smile of volatility surface thanks to a stochastic process on volatility itself. It is a very important characteristic for pricing derivatives of long maturity. Stochastic volatility model also corrects the problem of opposite underlying-volatility correlation against market data in many other models by introducing correlation parameter explicitly. The most popular stochastic volatility models include Heston model, Piterbarg model, SABR model, etc. As pointed out by Piterbarg, the need of time-dependent parameters in stochastic volatility models is real and serious. It is because in one hand stochastic volatility models with constant parameters are generally incapable of fitting market prices across option expiries, and in the other hand exotics do not only depend on the distribution of the underlying at the expiry, but on its dynamics through all time. This contradiction implies the necessity of time-dependent parameters. In this thesis, we extend Piterbarg's idea to the whole family of stochastic volatility model, making all the stochastic volatility models having time-dependent parameters and show various formulas for vanilla option price by employing various techniques such as characteristic function, Fourier transform, small error perturbation, parameter averaging, etc.
Author : Catherine Kyrtsou
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)
Book Synopsis Noisy Chaotic Dynamics in Commodity Markets by : Catherine Kyrtsou
Download or read book Noisy Chaotic Dynamics in Commodity Markets written by Catherine Kyrtsou and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The nonlinear testing and modeling of economic and financial time series has increased substantially in recent years, enabling us to better understand market and price behavior, risk and the formation of expectations. Such tests have also been applied to commodity market behavior, providing evidence of heteroskedasticity, chaos, long memory, cyclicity, etc. More recently the evaluation of empirical financial models suggests that chaotic structure in asset prices can result from the heterogeneity of trader's expectations. The present evaluation of futures price behavior confirms that the resulting price movements can be random, suggesting noisy chaotic behavior. The most likely cause of this behavior is the mentioned heterogeneity. Prices could thus follow a mean process that is dynamic chaotic, coupled with a variance that follows a GARCH process. Our conclusion is that models of this type could be constructed to assist in forecasting prices in the short run but not over long run time periods.
Author : Mir Hashem Moosavi Avonleghi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)
Book Synopsis Quantitative Techniques for Spread Trading in Commodity Markets by : Mir Hashem Moosavi Avonleghi
Download or read book Quantitative Techniques for Spread Trading in Commodity Markets written by Mir Hashem Moosavi Avonleghi and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates quantitative techniques for trading strategies on two commodities, the difference of whose prices exhibits a long-term historical relationship known as mean-reversion. A portfolio of two commodity prices with very similar characteristics, the spread may be regarded as a distinct process from the underlying price processes so deserves to be modeled directly. To pave the way for modeling the spread processes, the fundamental concepts, notions, properties of commodity markets such as the forward prices, the futures prices, and convenience yields are described. Some popular commodity pricing models including both one and two factor models are reviewed. A new mean-reverting process to model the commodity spot prices is introduced. Some analytical results for this process are derived and its properties are analyzed. We compare the new one-factor model with a common existing one-factor model by applying these two models to price West Texas Intermediate (WTI) crude oil, and discuss its advantages and disadvantages. We investigate the recent behavioral change in the location spread process between WTI crude oil and Brent oil. The existing three major approaches to price a spread process namely cointegration, one-factor and two-factor models fail to fully capture these behavioral changes. We, therefore, extend the one-factor and two-factor spread models by including a compound Poisson process where jump sizes follow a double exponential distribution. We generalize the existing one-factor mean-reverting dynamics (Vasicek process) by replacing the constant diffusion term with a nonlinear term to price the spread process. Applying the new process to the empirical location spread between WTI and Brent crude oils dataset, it is shown how the generalized dynamics can rigorously capture the most important characteristics of the spread process namely high volatility, skewness and kurtosis. To consider the recent structural breaks in the location spread between WTI and Brent, we incorporate regime switching dynamics in the generalized model and Vasicek process by including two regimes. We also introduce a new mean-reverting random walk, derive its continuous time stochastic differential equation and obtain some analytical results about its solution. This new mean-reverting process is compared with the Vasicek process and its advantages discussed. We showed that this new model for spread dynamics is capable of capturing the possible skewness, kurtosis, and heavy tails in the transition density of the price spread process. Since the analytical transition density is unknown for this nonlinear stochastic process, the local linearization method is deployed to estimate the model parameters. We apply this method to empirical data for modeling the spread between WTI crude oil and West Texas Sour (WTS) crude oil. Finally, we apply the introduced trading strategies to empirical data for the location spread between WTI and Brent crude oils, analyze, and compare the profitability of the strategies. The optimal trading strategies for the spread dynamics in the cointegration approach and the one-factor mean-reverting process are discussed and applied to our considered empirical dataset. We suggest to use the stationary distribution to find optimal thresholds for log-term investment strategies when the spread dynamics is assumed to follow a Vasicek process. To incorporate essential features of a spread process such as skewness and kurtosis into the spread trading strategies, we extend the optimal trading strategies by considering optimal asymmetric thresholds.
Author : Ali Nouri Dariani
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (89 download)
Book Synopsis Structural Modeling of Short-run Price Dynamics in Commodities Markets by : Ali Nouri Dariani
Download or read book Structural Modeling of Short-run Price Dynamics in Commodities Markets written by Ali Nouri Dariani and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation addresses the gap between commodity price models in economics and finance. The literature in finance often abstracts from market forces and calibrates a stochastic process of price dynamics in order to follow them closely and to price commodity derivatives, most importantly futures contracts. On the other hand models in economics literature often focus on supply, demand and inventories in the long-run. I have developed short-run structural models of commodity prices. These models provide a better description of price dynamics by considering the underlying structure of the economy. Since these models incorporate actions of market participants, they have the advantage of being able to process information signals about probabilities of future supply/demand shocks. The other advantage of short-run structural models is their power in prediction of unobservable states of the economy. Hence, these models provide a better description of forward curves in commodities markets. Recent advances in the theory of storage have been able to associate specific behaviors of commodity prices with inventory dynamics. These models assume producers and consumers who only consider current price, and storage units who consider the whole stochastic process of price in the future. This thesis improves upon these models in two aspects. First, I remove the assumption that the producers and consumers take into account only the current price. For depletable commodities specifically, and for many commodities in general, it is more plausible to assume that the producer has the option to sell the commodity now or postpone the extraction until a future time. The expected future dynamics of prices can change the current production decisions and as a result the current and future prices. My model characterizes the equilibrium of such a system and its comparative dynamics. Second, I introduce an advanced calibration algorithm for this model. Traditional models calibrate their parameters by minimizing their prediction error on aggregate measures such as the average volatility of forward prices. My approach considers the instances of forwards curves and tries to matches each of them. One advantage of this model is the ability to estimate the state of the system (e.g. remaining inventories) as well as the transient and permanent shocks in supply/demand. The theoretical framework of this dissertation shows that actions of rational market participants impose certain price dynamics to the market. Most examples in this work consider crude oil as it is the most traded commodity, with liquid future contracts for longer horizons. Calibration results demonstrate the improvements that short-run structural models could create in describing price dynamics.
Author : Wayne Ferson
Publisher : MIT Press
ISBN 13 : 0262039370
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)
Book Synopsis Empirical Asset Pricing by : Wayne Ferson
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author : Adam Prakash
Publisher : Bright Sparks
ISBN 13 :
Total Pages : 620 pages
Book Rating : 4.:/5 (31 download)
Book Synopsis Safeguarding Food Security in Volatile Global Markets by : Adam Prakash
Download or read book Safeguarding Food Security in Volatile Global Markets written by Adam Prakash and published by Bright Sparks. This book was released on 2011 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely publication as world leaders deliberate the causes of the latest bouts of food price volatility and search for solutions that address the recent velocity of financial, economic, political, demographic, and climatic change. As a collection compiled from a diverse group of economists, analysts, traders, institutions and policy formulators - comprising multiple methodologies and viewpoints - the book exposes the impact of volatility on global food security, with particular focus on the world's most vulnerable.
Author : Gilles Dufrénot
Publisher : Springer Nature
ISBN 13 : 3030542521
Total Pages : 387 pages
Book Rating : 4.0/5 (35 download)
Book Synopsis Recent Econometric Techniques for Macroeconomic and Financial Data by : Gilles Dufrénot
Download or read book Recent Econometric Techniques for Macroeconomic and Financial Data written by Gilles Dufrénot and published by Springer Nature. This book was released on 2020-11-21 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models. The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.
Author : Matthias Kalkuhl
Publisher : Springer
ISBN 13 : 3319282018
Total Pages : 620 pages
Book Rating : 4.3/5 (192 download)
Book Synopsis Food Price Volatility and Its Implications for Food Security and Policy by : Matthias Kalkuhl
Download or read book Food Price Volatility and Its Implications for Food Security and Policy written by Matthias Kalkuhl and published by Springer. This book was released on 2016-04-12 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.
Author : Söhnke M. Bartram
Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)
Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram
Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
