scholarly journals How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica

Entropy ◽  
2018 ◽  
Vol 20 (10) ◽  
pp. 765 ◽  
Author(s):  
Antonio Peruzzi ◽  
Fabiana Zollo ◽  
Walter Quattrociocchi ◽  
Antonio Scala
Keyword(s):  
Mutual Information ◽  
Stock Price ◽  
Voting Behavior ◽  
Complex Structure ◽  
Market Price ◽  
Political Consulting ◽  
Average Value ◽  
The Social ◽  
Before And After ◽  
Using Data

The claim of Cambridge Analytica, a political consulting firm, that it was possible to influence voting behavior by using data mined from the social platform Facebook created a sudden fear in its users of being manipulated; consequently, even the market price of the social platform was shocked.We propose a case study analyzing the effect of this data scandal not only on Facebook stock price, but also on the whole stock market. To such a scope, we consider 15-minutes prices and returns of the set of the NASDAQ-100 components before and after the Cambridge Analytica case. We analyze correlations and Mutual Information among components finding that assets become more correlated and their Mutual Information grows higher. We also observe that correlation and Mutual Information are mutually increasing and seem to follow a master curve. Hence, the market appears more fragile after the Cambridge Analytica event. In fact, as it is well-known in finance, an increase in the average value of correlations augments the systemic risk (i.e., all the market can collapse as a whole) and decreases the possibility of allocating a safe investment portfolio.

scholarly journals Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers

2021 ◽  
Vol 3 ◽  
Author(s):  
Yitong Huang ◽  
Caleb Mayer ◽  
Olivia J. Walch ◽  
Clark Bowman ◽  
Srijan Sen ◽  
...  
Keyword(s):  
Heart Rate ◽  
Circadian Rhythms ◽  
Phase Error ◽  
Laboratory Data ◽  
The Body ◽  
Social Distancing ◽  
Circadian Phase ◽  
The Social ◽  
Before And After ◽  
Using Data

Mobile measures of human circadian rhythms (CR) are needed in the age of chronotherapy. Two wearable measures of CR have recently been validated: one that uses heart rate to extract circadian rhythms that originate in the sinoatrial node of the heart, and another that uses activity to predict the laboratory gold standard and central circadian pacemaker marker, dim light melatonin onset (DLMO). We first find that the heart rate markers of normal real-world individuals align with laboratory DLMO measurements when we account for heart rate phase error. Next, we expand upon previous work that has examined sleep patterns or chronotypes during the COVID-19 lockdown by studying the effects of social distancing on circadian rhythms. In particular, using data collected from the Social Rhythms app, a mobile application where individuals upload their wearable data and receive reports on their circadian rhythms, we compared the two circadian phase estimates before and after social distancing. Interestingly, we found that the lockdown had different effects on the two ambulatory measurements. Before the lockdown, the two measures aligned, as predicted by laboratory data. After the lockdown, when circadian timekeeping signals were blunted, these measures diverged in 70% of subjects (with circadian rhythms in heart rate, or CRHR, becoming delayed). Thus, while either approach can measure circadian rhythms, both are needed to understand internal desynchrony. We also argue that interventions may be needed in future lockdowns to better align separate circadian rhythms in the body.

Electric Conductivity and Power of Hydrogen Value of Processed Seawater Using a Distillation Tool

2021 ◽  
Vol 9 (1) ◽  
pp. 49-59
Author(s):  
Muliyadi Muliyadi ◽  
Idayani Sangadjisowohy
Keyword(s):  
Electrical Conductivity ◽  
Ph Value ◽  
Liquid Waste ◽  
Residential Areas ◽  
Average Value ◽  
Data Processing Software ◽  
Before And After ◽  
Post Test ◽  
Using Data ◽  
Distillation Equipment

Water pollution in the coastal areas of Ternate has shown a serious increase. It can be seen from the amount of garbage and the appearance of water turbidity in areas near residential areas. Based on a preliminary study, several residents behind the mountain also complained about the brackishness of their wells due to seawater intrusion. This study aims to determine the effectiveness of the distillation method on decreasing the value of electrical conductivity and power of hydrogen (pH) in seawater. This research is an experimental study with a post-test only group control design with a sample of 10 litres of liquid waste from three places, namely Muara Maliaro, Muara Pasar Sayur, Muara Pelabuhan Besar. The results of this study were processed using data processing software with paired T-test and Wilcoxon. The average value of DHL in samples 1, 2, 3 after distillation was carried out successively was 116 mhos/cm, 109.33 mhos/cm, 109.66 mhos/cm. The average pH value in samples 1, 2, 3 after distillation in all samples have shown normal values ​​with an average of  7. There is a difference in the DHL value before and after distillation with the Sig value (2-tailed), which is <0.05. There is a different pH value before and after distillation with the Sig value (2-tailed) <0.05. Distillation equipment can reduce the value of electrical conductivity and pH in seawater.

Medicaid Expansions and Participation in Supplemental Security Income by Noncitizens

2021 ◽  
pp. e1-e7
Author(s):  
Felix M. Muchomba ◽  
Neeraj Kaushal
Keyword(s):  
Low Income ◽  
Supplemental Security Income ◽  
Medicaid Expansion ◽  
Participation Rates ◽  
Social Security Administration ◽  
Eligibility Criteria ◽  
The Social ◽  
Before And After ◽  
Medicaid Eligibility ◽  
Using Data

Objectives. To estimate the effect of Medicaid expansion on noncitizens’ and citizens’ participation in the Supplemental Security Income (SSI) program. The Affordable Care Act (ACA) expanded Medicaid eligibility to cover low-income nonelderly adults without children, thus delinking their Medicaid participation from participation in the SSI program. Methods. Using data from the Social Security Administration for 2009 through 2018 (n = 1020 state-year observations) and the Current Population Survey for 2009 through 2019 (n = 78 776 respondents), we employed a difference-in-differences approach comparing SSI participation rates in US states that adopted Medicaid expansion with participation rates in nonexpansion states before and after ACA implementation. Results. Medicaid expansion reduced the SSI (disability) participation of nonelderly noncitizens by 12% and of nonelderly citizens by 2%. Estimates remained robust with administrative and survey data. Conclusions. Medicaid expansion caused a substantially larger decline in the SSI participation of noncitizens, who face more restrictive SSI eligibility criteria, than of citizens. Our estimates suggest an annual savings of $619 million in the federal SSI cost because of the decline in SSI participation among noncitizens and citizens. (Am J Public Health. Published online ahead of print April 15, 2021: e1–e7. https://doi.org/10.2105/AJPH.2021.306235 )

scholarly journals ADAKAH PENGARUH FREE FLOAT TERHADAP PELAKU PASAR SAHAM DI INDONESIA?

2019 ◽  
Vol 21 (1) ◽  
pp. 39-46
Author(s):  
PUTRI MUTIRA
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Composite Index ◽  
High Price ◽  
Percentage Increase ◽  
Price Changes ◽  
Average Value ◽  
Before And After ◽  
Additional Reference

Indonesian Stock Exchange has released free float adjustment index on November 2018 and composite index declined about 3,2%. Free Float will be an additional reference for the exchange in compiling an index which previously used market capitalization and total transaction value. This study examines the average daily price changes of LQ45 stocks within 60 days before and after the announcement. The daily closing price changes are calculated as a percentage increase or decrease of stock prices according to the previous day, then, the average value is calculated for all the trading days. There are differences in the average stock price changes 60 days before and after the announcement date. After dropped, the price rebound and make a new higher high price two days after the announcement. Bank BCA, Bank Mandiri, Bank BRI, Bank BNI, Astra International and Telkom are companies which increase the weight of the free float meanwhile Unilever and H.M Sampoerna were the opposite.

What is the value of Facebook? Evidence from the Schwartz/Moon model

2019 ◽  
Vol 20 (3) ◽  
pp. 267-290
Author(s):  
Josef Schosser ◽  
Heiko Ströbele
Keyword(s):  
Interest Rates ◽  
Initial Public Offering ◽  
Stock Price ◽  
Market Price ◽  
Content Type ◽  
Company Value ◽  
The Social ◽  
Stochastic Interest ◽  
Close Proximity ◽  
Public Offering

Purpose On May 17, 2012, the social networking company Facebook Inc. fixes its initial public offering (IPO) price at $38.00 a share. Over the next couple of months, contrary to expectations raised by previous IPOs, the stock price crashes more than 50 per cent. Immediately, the question arises whether the issuer’s or the stock market’s pricing of the share are in line with the firm’s fundamentals. Thus, the purpose of this paper is to determine the company value in close proximity to the date of IPO. Design/methodology/approach As Facebook is an archetypal internet growth company, it is evaluated using the Schwartz/Moon model. This approach features significant advantages over traditional valuation models and more adequately captures the characteristics of growth companies. Findings As of September 30, 2012, the fundamental share value determined was $26.53, which exceeded the market price per share of $22.66 by 22.48 per cent, but was far less than the IPO stock price. The subsequent sensitivity analysis reveals the robustness of the result to key input parameters. Originality/value The results raise doubts about the IPO price of Facebook. Furthermore, this paper is of value from a more conceptual perspective in that an extended version of the Schwartz/Moon model is provided. Beyond extensions previously discussed in the subject-based literature, the authors include stochastic interest rates (as an additional source of uncertainty) and investigate their valuation effects.

Party preferences and political participation: the emergence of the Turkish-origin German voter

2008 ◽  
Vol 5 (1) ◽  
pp. 21-40
Author(s):  
Vera Eccarius-Kelly
Keyword(s):  
Political Participation ◽  
Voting Behavior ◽  
Green Party ◽  
Missed Opportunities ◽  
Social Democrats ◽  
Political Landscape ◽  
Turkish Origin ◽  
The Social ◽  
The Future ◽  
Specific Interests

The article examines trends in voting preferences and voting behavior of Turkish-origin German voters. Despite only representing a small percentage of the total German electorate, Turkish-origin voters are gaining an opportunity to shape the future political landscape. While the Social Democrats have benefited most directly from the minority constituency so far, this author suggests that the Green Party is poised to attract the younger, better educated, and German-born segment of the Turkish-origin voters. All other dominant national parties have ignored this emerging voting bloc, and missed opportunities to appeal to Turkish-origin voters by disregarding community-specific interests. 

GESTOGENS IN CORPUS LUTEUM OF CATTLE

1960 ◽  
Vol XXXIII (III) ◽  
pp. 417-427 ◽  
Author(s):  
John Kristoffersen
Keyword(s):  
Corpus Luteum ◽  
Average Value ◽  
Spectrophotometric Methods ◽  
The Third ◽  
Quantitative Measurements ◽  
Before And After ◽  
Luteal Tissue ◽  
In Pregnancy

ABSTRACT By means of chromatographic and spectrophotometric methods progesterone and a substance closely similar to 20β-hydroxy-pregn-4-ene-3-one has been detected in luteal tissue from non-pregnant and pregnant cows. In 21 animals quantitative measurements based on a method giving an average net recovery of 56 per cent showed that in pregnancy the average progesterone content in the corpus luteum reached a maximum in the third to fifth month, with low values before and after this period. For 6 nonpregnant cows, the average value was 20.2 μg/g tissue, which is considerably higher than previous values reported in the literature. The relation between these findings and the bovine dependence on a functional corpus luteum in pregnancy is discussed, and it is pointed out that more information about the metabolism of progesterone in cattle is highly desirable.

PENGARUH IT SPENDING TERHADAP KINERJA PERUSAHAAN PADA PERUSAHAAN TELEKOMUNIKASI YANG TERDAFTAR DI BURSA EFEK SELURUH ASIA TENGGARA PADA TAHUN 2009-2011

MODUS ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 93
Author(s):  
Irene Adrayani
Keyword(s):  
Stock Price ◽  
Sampling Method ◽  
Capital Expenditure ◽  
Stock Exchange ◽  
Market Price ◽  
Market Value ◽  
Company Performance ◽  
Corporate Value ◽  
Accounting Information System ◽  
Company Value

This study aims to get empirical evidence about the infuence of IT spending on corporate value by testing the efect of IT spending on corporate value by using Tobin’s Q. Te higher the stock price, the higher the company value as well as investors’ assessment. The market price of the company’s stocks refects investors’ assessment of the overall equity held. Of the stock price refects investor can provide an assessment of a company. Tobin’s Q is the ratio of the market value of the company’s assets as measured by the market value of the outstanding stocks and debt (enterprise value) to the replacement cost of the assets of the company. The sampling method is based on purposive sampling method with the purpose to obtain a sample that meets the criteria. Tis study used a sample taken from a telecommunications company listed on the Stock Exchange throughout Southeast Asia during the period of 2009-2011. The hypothesis in this study was tested using simple regression. Based on data analysis, the result that the variable IT spending does not afect the company value.Keywords: accounting information system, Tobin’s Q, IT spending, capital expenditure, company performance

Social comparison orientation and mental health: The mediating role of psychological capital

2020 ◽  
Author(s):  
Guoliang Yang ◽  
Zhihua Wang ◽  
Weijiong Wu
Keyword(s):  
Mental Health ◽  
Social Comparison ◽  
Psychological Capital ◽  
Mediating Effect ◽  
Mediating Role ◽  
The Social ◽  
Social Comparison Orientation ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Little is known about the relationship between social comparison orientation and mental health, especially in the psychological capital context. We proposed a theoretical model to examine the impact of ability- and opinion-based social comparison orientation on mental health using data from 304 undergraduates. We also examined the mediating effect of the four psychological capital components of hope, self-efficacy, resilience, and optimism in the relationship between social comparison orientation and mental health. Results show that an ability (vs. opinion) social comparison orientation was negatively (vs. positively) related to the psychological capital components. Further, the resilience and optimism components of psychological capital fully mediated the social comparison orientation–mental health relationship. Our findings indicate that psychological capital should be considered in the promotion of mental health, and that the two social comparison orientation types have opposite effects on psychological capital.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

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