Pricing kernel factorization and recovery theorem

2020 ◽  
Vol 07 (03) ◽  
pp. 2050029
Author(s):  
Pauline M. Ngugnie Diffouo ◽  
Yves Y. Yameni Noupoue

Recently, Ross proposed an idea, now known as the “Recovery Theorem,” that asserts that the real (physical) probability measure can be recovered from the market prices of derivatives. This work has generated a great deal of controversy in the finance literature. The purpose of this paper is to revisit the core idea of the recovery theorem and to examine its implications. In particular, issues concerning the so-called factorization of the pricing kernel will be examined from the viewpoint of the Flesaker–Hughston representation.

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Zhongxiu Liu ◽  
Junlin Xu ◽  
Shawn P. Daly

Husserl accepted the influence of descriptive psychology, inherited and developed the concept of intentionality, criticized and innovated the problem of empiricism from epistemology, and Conscious Intentionality has become the core idea of Husserl’s phenomenology. By analyzing Husserl’s concept of consciousness, we can clarify the internal structure of Husserl’s definition of “consciousness” on the basis of understanding the internal relationship of Husserl’s concept of consciousness: the concept of consciousness is not equivalent to the concept of intentionality, only when the concept of consciousness based on intentionality does the real concept of Husserl’s consciousness become manifest. Husserl’s concept of consciousness not only affects Martin Heidegger and Searle, but also has an important influence on the later philosophy of mind, and promotes the integration of philosophy of mind and philosophy of language.


2003 ◽  
Vol 51 (3) ◽  
pp. 542-557 ◽  
Author(s):  
Richard Vernon

Recently, states and other institutions have undertaken to make restitution for past abuses. Distinctions need to be made between various kinds of restitutive practices that rest on quite different normative grounds. Moreover, the core idea of restitution, in attaching obligation to particular historically grounded relationships, is questionable, and what is being attempted is better explained and justified in terms of a number of standard principles of justice of a non-restitutive kind; for although there is, in principle, a clear case of restitutive justice, its elements rarely, if ever, exist in the real world in an unmixed state. Although there are significant objections to deriving local obligations from principles of universal justice, they have no force in this case. Policies termed ‘restitutive’ may well be justifiable, but they are misdescribed.


Author(s):  
Simon Lumsden

This paper examines the theory of sustainable development presented by Jeffrey Sachs in The Age of Sustainable Development. While Sustainable Development ostensibly seeks to harmonise the conflict between ecological sustainability and human development, the paper argues this is impossible because of the conceptual frame it employs. Rather than allowing for a re-conceptualisation of the human–nature relation, Sustainable Development is simply the latest and possibly last attempt to advance the core idea of western modernity — the notion of self-determination. Drawing upon Hegel’s account of historical development it is argued that Sustainable Development and the notion of planetary boundaries cannot break out of a dualism of nature and self-determining agents.


2018 ◽  
Vol 28 (1) ◽  
pp. 345-350
Author(s):  
Ali Hajro

The Current and future leaders live in a turbulent and chaotic environment, where the real power of acting derives from the recognition of the concept of change and looking for options. In this type of environment a lot of competence is necessary for the leaders to survive. The aim of this study case was to explore i.e. gain a clearer picture of the position of the leader, their characteristics, functions, levels, the core and the factors affecting the leader and their leadership. To see what type of leader the people want simply to draw conclusions about the characteristics, qualities and techniques of a leader and their leadership. So that in the end, to have empirical proof of the leader. The set goal in this study case is today’s leaders in everyday process, starting from the very beginning of their work, to serve as an example in developing inter-personal skills at the same time as treating people with dignity and respect. In other words, they have to possess leadership skills, characteristics and the necessary actions. This research aims at finding out the real attributes that is the profile of a leader and their leadership running an organization regardless if it is economic, political, and military or some other non-governmental organization. The values are more than a set of rules, they are not only behavior code, and they say what a leader should be every day in every action that they take. The values shade the leaders’ identity and the organization that they run.


2012 ◽  
Vol 241-244 ◽  
pp. 2504-2509
Author(s):  
Yan Li ◽  
Qiao Xiang Gu

The equipment, called detection platform of the cylinders, is used for detecting cylinders so that cylinders can be at ease use. In order to transmit the real-time detection data to PC for further processing, the platform should be connected with PC. Cable connection, in some production and environmental conditions, is limited. Under the circumstance, building wireless network is the better choice. Through comparative studying, ZigBee is chosen to be the technology for building wireless network. ZigBee chip and ZigBee2006 protocol stack are the core components in the ZigBee nodes.


2021 ◽  
Vol 12 (1) ◽  
pp. 53-72
Author(s):  
Mohsin Khan ◽  
Bhavna Arora

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified place and time. This manuscript is an enactment of the algorithms associated to the maintenance of secure distance amongst vehicles, lane shifting, and overtaking, which will diminish the occurrence of collisions and congestions especially phantom jams. Those implementations are centered over CAV and VANET technology for the interconnection of the vehicles and the data transmission. The data is associated to the aspects of a vehicle such as speed, position, acceleration, and acknowledgements, which acts as the fundamentals for the computation of variables. In accordance with the environment of a particular vehicle (i.e., its surrounding vehicles), real-time decisions are taken based on the real-time computation of the variables in a discrete system.


Author(s):  
Gustavo Grullon ◽  
Sebastien Michenaud ◽  
James Peter Weston

2021 ◽  
pp. 1-10
Author(s):  
Zhucong Li ◽  
Zhen Gan ◽  
Baoli Zhang ◽  
Yubo Chen ◽  
Jing Wan ◽  
...  

Abstract This paper describes our approach for the Chinese Medical named entity recognition(MER) task organized by the 2020 China conference on knowledge graph and semantic computing(CCKS) competition. In this task, we need to identify the entity boundary and category labels of six entities from Chinese electronic medical record(EMR). We construct a hybrid system composed of a semi-supervised noisy label learning model based on adversarial training and a rule postprocessing module. The core idea of the hybrid system is to reduce the impact of data noise by optimizing the model results. Besides, we use post-processing rules to correct three cases of redundant labeling, missing labeling, and wrong labeling in the model prediction results. Our method proposed in this paper achieved strict criteria of 0.9156 and relax criteria of 0.9660 on the final test set, ranking first.


2018 ◽  
Author(s):  
Johann-Mattis List

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words which fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here we present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns which can be inferred for a given dataset. By excluding those patterns which occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the paper presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the paper. To illustrate the usefulness of the method, we present how the inferred patterns can be used to predict words that have not been observed before.


Author(s):  
Wenbin Li ◽  
Lei Wang ◽  
Jing Huo ◽  
Yinghuan Shi ◽  
Yang Gao ◽  
...  

The core idea of metric-based few-shot image classification is to directly measure the relations between query images and support classes to learn transferable feature embeddings. Previous work mainly focuses on image-level feature representations, which actually cannot effectively estimate a class's distribution due to the scarcity of samples. Some recent work shows that local descriptor based representations can achieve richer representations than image-level based representations. However, such works are still based on a less effective instance-level metric, especially a symmetric metric, to measure the relation between a query image and a support class. Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning. To that end, we propose a novel Asymmetric Distribution Measure (ADM) network for few-shot learning by calculating a joint local and global asymmetric measure between two multivariate local distributions of a query and a class. Moreover, a task-aware Contrastive Measure Strategy (CMS) is proposed to further enhance the measure function. On popular miniImageNet and tieredImageNet, ADM can achieve the state-of-the-art results, validating our innovative design of asymmetric distribution measures for few-shot learning. The source code can be downloaded from https://github.com/WenbinLee/ADM.git.


Sign in / Sign up

Export Citation Format

Share Document