Triangle Momentum

<p>This research investigates the breakout of security prices from periods of sideways drift known as Triangles. Contributions are made to the existing literature by considering returns conditionally based on Triangles in particular terms of how momentum traders time positions, and by then using alternative statistical methods to more clearly show results. Returns are constructed by scanning for Triangle events, and determining simulated trader returns from predetermined price levels. These are compared with a Naive model consisting of randomly sampled events of comparable measure. Modelling of momentum results is achieved using a marked point Poisson process based approach, used to compare arrival times and profit/losses. These results are confirmed using a set of 10 day return heuristics using bootstrapping to define confidence intervals. Using these methods applied to CRSP US equity data inclusive from years 1960 to 2017, US equities show a consistent but weak predictable return contribution after Triangle events occur; however, the effect has decreased over time, presumably as the market becomes more efficient. While these observed short term momentum changes in price have likely been compensated to a degree by risk, they do show that such patterns have contained forecastable information about US equities. This shows that prices have likely weakly been affected by past prices, but that currently the effect has reduced to the point that it is of negligible size as of 2017.</p>

Triangle Momentum

<p>This research investigates the breakout of security prices from periods of sideways drift known as Triangles. Contributions are made to the existing literature by considering returns conditionally based on Triangles in particular terms of how momentum traders time positions, and by then using alternative statistical methods to more clearly show results. Returns are constructed by scanning for Triangle events, and determining simulated trader returns from predetermined price levels. These are compared with a Naive model consisting of randomly sampled events of comparable measure. Modelling of momentum results is achieved using a marked point Poisson process based approach, used to compare arrival times and profit/losses. These results are confirmed using a set of 10 day return heuristics using bootstrapping to define confidence intervals. Using these methods applied to CRSP US equity data inclusive from years 1960 to 2017, US equities show a consistent but weak predictable return contribution after Triangle events occur; however, the effect has decreased over time, presumably as the market becomes more efficient. While these observed short term momentum changes in price have likely been compensated to a degree by risk, they do show that such patterns have contained forecastable information about US equities. This shows that prices have likely weakly been affected by past prices, but that currently the effect has reduced to the point that it is of negligible size as of 2017.</p>

Intellectual property rights and its implications for the pharmaceutical industry in Iraq under accession to the World Trade Organization

The main risks arising from the WTO Agreement are the inequality and lack of competitiveness of most pharmaceutical goods, as well as the fact that Iraq is a net importer of medicines that are at the core of consumer needs, The subject matter of the Convention on the Protection of Intellectual Property Rights and its implications for the pharmaceutical industry, in particular, coinciding with the situation of financial and administrative corruption, all of which has resulted in drug fraud in the Iraqi market and its impact on public health. The control of medical technology, the persistence of the technological gap and its effects on high price levels, and the fact that domestic drug producers are obliged to obtain production licenses from global companies in the light of limited access to pharmaceutical research and development. The research aims at the impact of economic liberalization within the World Trade Organization (WTO) and its negative effects on consumers by highlighting the economic and social effects on consumption by raising prices and monopolies and restricting the volume of consumer demand because of the loss of the competitive advantage of pharmaceutical goods. Iraq's unwillingness to accede to the International Convention for the Protection of Intellectual Property Rights of the World Trade Organization (WTO) and the deterioration of the pharmaceutical industry meant increased dependence on the outside, increased trade deficits, higher price levels, and its adverse effects on consumers. Iraq finds it difficult for developed countries to use their intellectual rights as well as restrict industrial and agricultural work because production and production methods are now subject to their intellectual property protection law, which prevents any possible industrial development. The most significant potential short-term impact of TRIPS is the decline in drug production, which continues to be protected. The great challenge for drug producers is the need to

Risk and reward of the global truffle sector under predicted climate change

Climate change has been described as the main threat for the cultivation and growth of truffles, but hydroclimate variability and model uncertainty challenge regional projections and adaptation strategies of the emerging sector. Here, we conduct a literature review to define the main Périgord truffle growing regions around the world and use 20 global climate models to assess the impact of future trends and extremes in temperature, precipitation and soil moisture on truffle production rates and price levels in all cultivation regions in the Americas, Europe, South Africa, and Australasia. Climate model simulations project 2.3 million km2 of suitable land for truffle growth will experience 50% faster aridification than the rests of the global land surface, with significantly more heat waves between 2070 and 2099 CE. Overall, truffle production rates will decrease by ~15%, while associated price levels will increase by ~36%. At the same time, a predicted increase in summer precipitation and less intense warming over Australasia will likely alleviate water scarcity and support higher yields of more affordable truffles. Our findings are relevant for truffle farmers and businesses to adapt their irrigation systems and management strategies to future climate change.

RTI metoda jako způsob digitalizace kulturního dědictví

Current technological developments offer an inexhaustible number of procedures for digitization. However, technological equipment intended for teams in professional laboratories reaches price levels that cultural institutions often do not have enough finances. Procedures and methods using equipment, which institutions often already own or are not so expensive to acquire, come to the fore. One of them is the RTI (Reflectance Transformation Imaging) method, which creates a spatial relief composed of a sequence of images with visible lighting. The RTI method is very successful in depicting illegible or wiped details and is already widely used in archaeology.

Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China

The impact of urban rail transit on housing prices has attracted the extensive attention of scholars, but few studies have explored the heterogeneous impact of rail transit on housing prices with different price levels. To solve this problem, we adopted the hedonic price model based on ordinary least squares regression as a supplementary method of quantile regression to study the heterogeneous impact of the Chengdu Metro system on low-, middle-, and high-priced housing. The result shows that the housing price rises first, then falls with the distance from the housing to the nearest subway station. Besides, the influence of transportation accessibility on low-, middle-, and high-priced housing decreases progressively. This research can provide a reference for the government’s transportation planning and decision-making.

QF-TraderNet: Intraday Trading via Deep Reinforcement With Quantum Price Levels Based Profit-And-Loss Control

Reinforcement Learning (RL) based machine trading attracts a rich profusion of interest. However, in the existing research, RL in the day-trade task suffers from the noisy financial movement in the short time scale, difficulty in order settlement, and expensive action search in a continuous-value space. This paper introduced an end-to-end RL intraday trading agent, namely QF-TraderNet, based on the quantum finance theory (QFT) and deep reinforcement learning. We proposed a novel design for the intraday RL trader’s action space, inspired by the Quantum Price Levels (QPLs). Our action space design also brings the model a learnable profit-and-loss control strategy. QF-TraderNet composes two neural networks: 1) A long short term memory networks for the feature learning of financial time series; 2) a policy generator network (PGN) for generating the distribution of actions. The profitability and robustness of QF-TraderNet have been verified in multi-type financial datasets, including FOREX, metals, crude oil, and financial indices. The experimental results demonstrate that QF-TraderNet outperforms other baselines in terms of cumulative price returns and Sharpe Ratio, and the robustness in the acceidential market shift.

Price level and brand knowledge and its effects on purchase behavior

Purpose: this study aims to examine the impacts of price levels, high level vs. low level, associated to a known brand vs. an unknown brand over fairness perception, symbolism quality and purchase intention.Design/methodology/approach: one pre-experiment is conducted with a 2 (high price level vs. low price level) x 2 (known brand vs. unknown brand) between-subjects design and a sample of 152 jeans customers.Finding: the results indicate that different price levels with brand knowledge or without brand knowledge impact differently over customer behavior, mainly when it comes to quality, fairness, perceived value, symbolic value and purchase intention of the investigated product and that that the relation between symbolic value and purchase intention is totally mediated by the perceived fairness.Practical Implication: by understanding how customers integrate, relate and infer quality, fairness and symbolic aspects to products through their perceptions concerning price levels and brand knowledge levels, it is possible to supply marketing professionals with information that lead to better-informed choices about pricing policy and branding in their companies.Originality/value: among these research contributions, we emphasize the proposition of eleven research hypotheses that aim to better understand customer behavior from the manipulation of two variables: product price level and brand knowledge level and its impact on perceived quality, fairness, symbolism and purchase intention.