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Nguyễn Gia Hào

Academic year: 2023

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As defined earlier, portfolio management is the tactical level of the implementation of the organization's development strategy. The problem answers the question "How?" The focus of the problem is not just on the question.

Formation of a value-oriented portfolio of organization development In a narrow sense, the term “project portfolio formation” means determining

The value of the coefficient dij shows the degree of dependence of project i on project j. Taking into account the interdependence of the projects in the portfolio is a very important point that reflects the possibility of creating synergistic effects in the implementation of the portfolio of projects.

Monitoring and control of the implementation of the development portfolio Control of the implementation of the development portfolio based on devia-

The realization of the portfolio can be considered, firstly, as an approximation to the ideal state, the "portrait" of which was "painted" at a certain stage of its development. Thus, all components of the development portfolio should correspond to the main vector of development of the organizational system.

Method of the decisions preparation for the value-oriented portfolio management of the organizations

The method became the basis of the methodology of decision preparation for the value-oriented portfolio management of organizations. Name Method of preparation of decisions for the formation of the value-oriented portfolio of development of the organization.

TOP 1%

Introduction

This is directly related to the successful use of traditional (LSTM) to solve the stock market volatility forecasting problem, Xiong et al. The data on high stock prices show different characteristics compared to the initial values ​​of the models.

Methodology 1 Data

  • Numerical market prediction model and volatility forecasting

For example, Engle [20] first proposed an autoregressive conditional heteroscedasticity model (ARCH model) to characterize some possible correlations of the conditional variance of the prediction error. The method takes into account the probable nature of the values ​​that are not known precisely because of censoring.

The Gaussian process (GP)

  • Gaussian process model

It is no secret that investors and market regulators require accurate stock price and return forecasts: In this study, we emphasize that the forecast error of 1–3 hours ahead should be less than 10% of the actual recorded figures. So it is in the good range where the noise distribution overlaps significantly with the censored range.

Modeling process

This is accompanied by an exploratory analysis whose results suggest that the 4:6% percent is within 5% of the upper limit. As mentioned earlier, the main call of this article is to develop an efficient price volatility model that can be used to make relevant and frequent volatility estimates.

Forecasting accuracy evaluation

  • Experimental validation

The knowledge of such predictions and explorations is useful when modeling stock returns, which is the reason behind all investment dealings within stock markets.

Root mean square error (RMSE) results

  • Model evaluation

However, we noticed that stock prices and trading volumes affect our prediction much more than the rest of the factors, and at the same time volatility is most affected by trading volumes and insider news in the market. Therefore, we use trading volumes and stock prices (historical) to predict our stock returns and associated short-term volatility as inputs into the GP correction process.

Simulation results

The intensity and effect of the variables on our prediction accuracy for both stock returns and volatility is completely different. The second part of the MLP stock price model took corrected stock prices as inputs and has a hidden layer of 8 neurons, then performs the final prediction of stock returns.

Conclusions

The empirical results in the current study provide an important understanding of the idiosyncratic volatility puzzle on the asset pricing models, especially in relation to the firm-specific news. First, this study empirically demonstrates the pricing of news and non-news idiosyncratic volatility in the Korean stock market.

Data, variable constructions, and methodology 1 Data and variable constructions

  • Methodology

For the construction of the macro-finance variables, we follow the recent trend in the financial. For each macrofinance variable group, a macrofinance factor, which is the first principal component of the variables in the group, is constructed.

Results

  • Pricing of the news and non-news idiosyncratic volatility .1 Univariate portfolio sort
  • Additional test

The average portfolio returns fluctuate in the idiosyncratic volatility of both the VW and EW portfolios. Returns on the portfolios sorted by the non-news idiosyncratic volatility for the five-factor model and macro-finance variables.

Conclusions

106 KO CPI: FOOD & NON-ALCOHOL BEVERAGES NADJ KOCPFDBVF 107 KO CPI: FURNITURE, HOUSEHOLD EQP.& ROUTINE HOUSEKEEPING. 2019), "The Cross Section of Volatility and Expected Returns: Then and Now", Critical Financial Review (Forthcoming).

Literature survey

The literacy level of the rural female population is less than that of urban female population. The aim of the study is to investigate whether the learned knowledge about financial literacy by the Indian rural women population helps to invest their hard earned savings in the profitable ventures or not.

Scope of study

The investment decision made by the investors is entirely based on the risk, the amount of return and their future plan [22, 23]. Sharma and Pandey [27], Palanivelu and Chandrakumar [28] expressed that corporate bonds; postal schemes; promissory notes; and bank deposits are the most promising investment avenues for investors and more and more investors prefer these avenues.

Objectives

This study reveals that financial literacy has a positive trend with respect to agreeableness, extraversion, openness and a negative trend with respect to neuroticism [20]. Thulasipriya [26] informed that in earlier stages the investors invested in physical assets than financial assets.

Research methodology 1 Sample size

Analysis and interpretation 1 Socio-economic factors

  • Awareness of investment avenues
  • Investment pattern
  • Components of financial attitude
  • Statements describe the financial selection of rural females
  • Financial literacy scale
  • Relationship between financial literacy and investment pattern

This revealed that the overall level of financial literacy is encouraging in the rural parts of Jalandhar district. Data were collected from 335 members to calculate respondents' individual financial literacy scores.

Conclusion

This paper aims to empirically investigate the relationship between accounting information quality and investment decisions among firms in Tunisia. This main objective of this study is to investigate the relationship between accounting information quality and investment decisions using firm-level observations in an emerging market such as Tunisia.

The association between the quality of accounting information and the investment decision

  • Quality of financial information, capital cost and information asymmetry The accounting The accounting information represents an important source of
  • Quality of financial information, agency costs and control of managers According to previous studies from the perspective of agency theory, the main

Companies use accounting information when making investment decisions to invest in physical projects or in the capital market. As access to accounting information increases, the privileged position of managers with regard to private information decreases [9].

Research methodology

  • Sample and data collection
  • Investment decisions
  • Accounting information quality
  • The control variables
  • Model specification

At the level of this research, we will mainly be interested in two attributes of the accounting result, namely: the quality of accruals and accounting conservatism. In this model, the absolute value of the residuals is used as a proxy for the quality of accruals (QACC).

Analysis of results

  • Descriptive analysis
  • Multivariate analysis

It is possible to notice in Table 4 that the quality of the accruals increases the probability of underinvestment, while it has no significant impact on the probability of overinvestment. Then we can invoke the behavioral dimension of the Tunisian investor in the explanation of our results.

Conclusion

Citigroup was included in the five most valuable firms of the S&P 500 index, only Microsoft was a digital company at that time. Classic banknotes - the Bank's most accessible form of money - are used less frequently to make payments.

Objectives and methodology

In April 2020, the five most valuable S&P firms were all digital corporations; Microsoft, Apple, Google, Amazon and Facebook. The five companies have collectively added $4.4 trillion in market cap gains since 2013 and are now the 5 largest stocks in the S&P 500.

Digital transformation

  • Digital transformation strategy for banking industry

1] identify three stages of digital transformation: a) digitalization - the act of converting analog information into digital information [1], b) digitalization - the process of introducing IT or digital technologies for effective use in a company to change existing business processes [2], and c) digital transformation (see its systematization in Table 1). Digital transformation is a radical change implemented in the entire company, which leads to the development of a new business model [4, 5].

Actors of the banking industry in the EU

  • Traditional versus digital banking
  • Business Payments and Legislation for the EU Banking Industry

400 BC Origin of bankers, evolved from depositors 1200 AD First bank in 1157 at the Venetian bank in Italy. 1400 AD Banking boom - Florence, Milan, Venice, Siena (world's oldest functioning bank still exists here).

Digital currency – Fiat currency versus virtual currency

  • Central Bank Digital Currency (CBDC)
  • CBDC efforts worldwide .1 China

Central bank digital currency (CBDC, also called digital fiat currency, digital base money) is the digital form of fiat money (a currency created as money by government regulations and monetary authority or law). Instead of being the bank of banks, the central bank would become the "bank of the people" or "for the people".

Digital transformation challenges

The digitization of the financial sector is only expected to accelerate due to the coronavirus pandemic. In the aftermath of the Great Financial Crisis, Emotional Finance was warmly welcomed by regulators, the financial press and the CFA Institute.

The nature of financial assets

Stock market volatility versus the risk-free rate is not particularly important even during the Dotcom crashes. Shares may or may not pay dividends, but may be valued on this basis or at the book value of the firm.

What is a phantastic object?

Read in this way, Tuckett's 'fantastic object' is in fact a contradiction in terms, in that it is not the object itself that the subject desires, but rather the result of the script, ie. to summarize, there are two separate etymologies of 'fantastic object' in Tuckett's writings with Taffler on the subject.

Narrative causation versus causality

Instead, what Tuckett's approach offers is an interpretive strategy that mostly serves as an elaboration of the final stages of the Minsky-Kindleberger model of an asset price bubble [24], which identifies states of 'displacement, new opportunities, boom, euphoria, layoff, turmoil, panic, revulsion'. Tuckett's case studies of investment managers all follow similar trajectories, but figural causation is an artifact of the narrative's mimetic function and not a feature of reality [27].

From phantastic objects to groupfeel

To suggest otherwise is to suggest that there is some path-dependent group psychological structuring of financial bubbles such that they all have the same trigger, regardless of the particular asset at their core. This is also one of the few areas where the market makes 'zero sum', as the managers who outperform the market benchmark are richly rewarded in fees, whereas those who make the benchmarks are fired.

Conclusions: financial instability and asset-price bubbles

The idea then is to install circuit breakers, as a kind of market watcher decides 'enough is enough.' The problem with this is that it begs the regulatory equivalent of the Texas sniper fallacy, whereby a gunman sprays the side of a shed with a shotgun and then stands up to take the eye. For UK-based Tuckett, the irony of the financial crisis is that the neo-liberal experiment in 'light touch' regulation and low levels of taxation (especially on capital gains) took place under New Labour.

Confusing money with wealth

Awash In productive capacity

While there is broad agreement on the need for a more educated workforce, we don't know how to make college education affordable for everyone. Many people, young and old, want a college education that they simply cannot afford (and affordability is a money issue not a wealth production and distribution issue).

What we have not learned from economic downturns

For the most part, they each have enough infrastructure, instructors, and staff to serve many more students, and they could easily get more teachers and staff if a source of funding was available for everyone who wants to go to school.

Rethinking supply and demand

Ultimately, this proliferation of competitive duplication within and across industries leads to massive inefficiency. In order not to disrupt what was already working well in the economy, Continuous Economic Improvement would not raise employer labor costs, raise taxes, or increase debt.

Ledger economics

The supply of goods and services in the modern era exceeds humanity's ability to consume in many categories of production. What remains scarce is subject to either fiat pricing or a higher ratio of fiat to ledger dollars in the price.

Money innovation

Ledger Dollars placed those values, rather than cash, at the center of the economic universe. We cannot solve society's greatest challenges with a tool – money – that is inadequate for the tasks we want it to do.

A dual-currency ledger dollar system

Dealers benefit by increasing the number of customers while selling excess target capacity at marginal cost of production plus an additional cash profit. They pay a modest marketing fee for dual currency sales and get useful demographic data for community participation, free L$ employee benefit and great community PR.

How it works for individuals

When she spends two hours a week volunteering with a sponsor in the network, Sonya earns L$20.00/hour, which adds an extra L$160.00 per month to her account. On the weekend, Sonya notices that the app constantly highlights new deals from merchants in her neighborhood and finds a “L$ Deal” at a hair salon (shampoo and cut for $30.00 and L$30.00 for new customers).

How it works for employers and communities

Using the seller list and location map, Sonya finds a local gym where a $99.00 standard membership now costs her $50.00 plus L$49.00, which would be similar to the gym offering a 50% discount to attract new members. The warehouse would be virtual because none of the products need to be pre-purchased or stored somewhere special like traditional physical stores.

Ledger dollars and the IRS

Imagine all this excess capacity coming together in a "virtual community warehouse" for sustainable economic development, accessible not only to employees, but also to all those who earn rewards in the community. In the same way that porn blockers can be applied to a phone, a computer or a television, societies with shared values ​​can voluntarily choose to participate in customized economies that are "for or against" abortions, drugs; marriage equality; guns; vegan lifestyle; prostitution and so on.

COVID 19 be the Fuel to Ignite the Construction of Tunisian Fintech?

  • Literature review: understanding Fintech
    • The emergence of Fintech
    • Fintechs by segment
  • Fintech ecosystem
    • Participants in the Fintech ecosystem
    • The pillars of conducting a Fintech ecosystem
  • Fintech in Tunisia
    • Tunisian Fintech segments
    • Support and management mechanisms for the Tunisian Fintech ecosystem The TCB has taken initiatives and is positioning itself as a regulator and a
    • Roles of the TCB in the Fintech from the sandbox ecosystem
  • Tunisian Fintech facing Covid 19
  • Conclusion: challenges of Tunisia

The weight of the government and its allocation of regulations may vary depending on the extent of Fintech in the country [13]. Tunisia hopes to become a pioneer by implanting blockchain in TCB, digital payments and cryptocurrencies according to the statements of the governor of TCB.

Hình ảnh

Table 2 shows the results of the value-weighted (VW) and equal-weighted (EW) returns on portfolios sorted based on the idiosyncratic volatility (IV in Panel A, IVnews in Panel B, and IVnonews in Panel C)
Table 1 provides distribution of the sample by industry based on the
Table 2 shows that Tunisian companies have a poor quality of their account- account-ing results compared to other countries

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