Author: Lei JiPublisher:
ISBN:
Category :
Languages : en
Pages : 158
Book Description
Essays in Financial Economics and Econometrics
Essays in Financial Economics and Econometrics
Author: Canlin LiEssays on Financial Economics and Econometrics
Author: Jin (Ginger). WuTwo Essays on the Theory and the Econometrics of Finance
Author: Guillermo MolochePublisher:
ISBN: 9781303423253
Category :
Languages : en
Pages : 118
Book Description
This thesis contains two independent chapters, the first on financial econometrics and the second on financial economics.
Essays on Several Contemporary Issues in Econometrics and Financial Economics
Author: Fangxiong GongPublisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 194
Book Description
Essays in Financial Econometrics
Author: Emre KocatulumPublisher:
ISBN:
Category :
Languages : en
Pages : 117
Book Description
Chapter 1 is the product of joint work with Ferhat Akbas and it provides a behavioral explanation for monthly negative serial correlation in stock returns. For the first time in the literature, this work reports that only low momentum stocks experience monthly negative serial correlation. Using a recently collected dataset, this finding provides the basis for a behavioral explanation for monthly negative serial correlation. Chapter 2 uses mean squared error (MSE) criterion to choose the number of instruments for generalized empirical likelihood (GEL) framework. This is a relevant problem especially in financial economics and macroeconomics where the number of instruments can be very large. For the first time in the literature, heteroskedasticity is explicitly modelled in deriving the terms in higher order MSE. Using the selection criteria makes GEL estimator more efficient under heteroskedasticity. Chapter 3 is the product of joint work with Victor Chernozhukov and Konrad Menzel. This chapter proposes new ways of inference on mean-variance sets in finance such as Hansen-Jagannathan bounds and Markowitz frontier. In particular standard set estimation methods with Hausdorff distance give very large confidence regions which are not very meaningful for testing purposes. On the other hand confidence regions based on LR-type statistic and wald type statistic provide much tighter confidence bounds. The methodology is also extended to frontiers that use conditional information efficiently.
Three essays on financial econometrics
Author: Jiang LiangPublisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 0
Book Description
"This dissertation develops several econometric techniques to address three issues in financial economics, namely, constructing a real estate price index, estimating structural break points, and estimating integrated variance in the presence of market microstructure noise and the corresponding microstructure noise function. Chapter 2 develops a new methodology for constructing a real estate price index that utilizes all transaction price information, encompassing both single-sales and repeat-sales. The method is less susceptible to specification error than standard hedonic methods and is not subject to the sample selection bias involved in indexes that rely only on repeat sales. The methodology employs a model design that uses a sale pairing process based on the individual building level, rather than the individual house level as is used in the repeat-sales method. The approach extends ideas from repeat-sales methodology in a way that accommodates much wider datasets. In an empirical analysis of the methodology, we fit the model to the private residential property market in Singapore between Q1 1995 and Q2 2014, covering several periods of major price fluctuation and changes in government macroprudential policy ..."--Author's abstract.
Essays on Financial Economics and Econometrics
Author: Shengbo ZhuPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
In a recent seminal paper, Steve Ross proposed an attractive strategy to extract the physical distribution and risk aversion from just state prices. However, empirical papers that try to use his Recovery Theorem almost all lead to a depressing conclusion: the recovery theorem does not work. Both the state-price matrix and the recovered physical transition matrix are unreasonable and highly sensitive to subjective specifications and constraints. Borovička, Hansen and Scheinkman (2016) proposes a widely-accepted explanation for the empirical failure: according to the Hansen-Scheinkman decomposition established in Hansen and Scheinkman (2009), the assumption about the stochastic discount factor in Ross (2015) is equivalent to arbitrarily setting the martingale component to be 1, which is quite unlikely in reality. In Chapter 1, I argue that in contrast to Borovička, Hansen and Scheinkman (2016), the assumption about the stochastic discount factor in Ross (2015) actually does not set the martingale component in the Hansen-Scheinkman decomposition to be 1. What causes the empirical failure is actually a time-homogeneous state-price matrix, which induces quite restrictive implications on the underlying price process and those restrictions are easily violated in reality. In particular, when the underlying price is used as the state variable or as one component of the state vector, this restriction becomes an eigenvalue equation that contradicts the important eigenvalue equation in Ross (2015), which in this case makes the Recovery Theorem not just empirically implausible, but also logically inconsistent. Chapter 2 studies the following conceptual question: in what sense is the Fundamental Theorem of Asset Pricing similar to the two-period no-arbitrage theorem (a.k.a., Farkas lemma)? The purpose of studying this question is (1) to study the information that can be extracted from prices of derivatives in a multi-period context, generalizing the result in a two-period case in Breeden and Litzenberger (1978); (2) to find a way to write down explicitly a multi-period arbitrage process, just as a two-period arbitrage can be written down as a vector. To answer the above conceptual question, I break it down into three more specific questions: (1) How to generalize the concept of states to a multi-period model? (2) How to generalize the concept of state price to a multi-period model? (3) In what sense is a multi-period arbitrage process similar to a two-period arbitrage strategy which is just a vector? The key to answering those questions is to explicitly describe the probability space on which price processes are defined, especially what "information flow" means. I adopt the canonical probability space (i.e., the space of all possible paths of some price process) and propose to consider the whole path of as the state variable and the "path prices"(i.e., the equivalent martingale measure) as the analogue of state prices. This chapter discusses how we can recover prices of paths using prices of associated derivative securities and then use them to price other derivatives, which contributes to the literature of implied processes. In addition, it also shows that a multi-period arbitrage process can be reduced to a random vector. The theoretical contribution of this chapter is that it sheds new light on the nature of arbitrage processes and the Fundamental Theorem of Asset Pricing. Practically it provides a general framework to precisely extract the information contained in prices of frequently-traded derivatives and then price other derivatives. Chapter 3 derives the asymptotic properties of the maximum likelihood estimator and the quasi-maximum likelihood estimator constructed from a Markov hypothesis in the context of a dependent process without making assumptions about the functional form of the likelihood functions. Moreover, this chapter also examines the relation between the two asymptotic distributions and describes the conditions under which the asymptotic variance of the QMLE converges to that of the MLE when more and more lags are used in the construction of the QMLE.
Three Essays in Financial Econometrics
Author: Jianxun LiThree Essays in Econometrics and Financial Economics
Author: Xiaokang ZhuPublisher:
ISBN:
Category : Economics
Languages : en
Pages : 422
Book Description