History and the Future of the Hybrid Party Politics in Neoliberal Age: A Case of Pakistan

The causes of rising populism and collapse of the left-right ideological paradigms termed “death of ideology” is important development on election canvas. This trend in recent decades has been described as hybrid party politics. The neo-liberal discourse in hybrid regime shape party politics with free market values, issues of inequality, denial of social justice, and crises of freedom are rampant. Consequently, hybrid party politics perpetuate systemic deprivation and chronic punishment to marginalized sections. The fast penetration of neoliberal and populist elements quickly fused into multi-layered public pedagogy. The common political discourse propounds for quick solutions to seek legitimacy with expanding corporate power constantly. The socioeconomic inequalities consequence of expanding neo-liberal values in all spheres like education and electoral practices have recently started crucially influencing urban socio-political environment that shape populist narratives in electoral arena. Neoliberal-populists leadership promote free market policies that push forward neoliberal populist rhetoric across political parties of different shades. The combination of neo-liberalism and populism thrives on subjects who perceive it solution to their problems. Thus, fast penetrating market-centric subjectivities consider alternative subjectivities outside perimeters of social dignity therefore political inclusiveness becomes subject to connection with power. The educative public pedagogy has been at the base of rising populism unfolding hybrid party politics

An empirical comparison of stock market bubbles

Financial asset bubbles occur due to systematic and continuous differences between fundamental and market values. Due to high growth periods and foreign capital inflows, bubbles are also seen in stock market indexes, especially in emerging market economies. This study analyzes the existence of bubbles in BIST100, IDX COMPOSITE, BOVESPA, MDEX, NIFTY 50, SHANGAI, and S&P 500 stock markets for the period 2009:01-2021:06. RADF, SADF, and GSADF tests are applied to detect bubbles on stock market closing prices. In addition, the emergence and demise dates of the bubbles are determined by employing the date-stamping method. The GSADF test gives more effective results and determines bubbles with different durations in all stock markets, except the S&P 500. The results reveal that the most inefficient market is IDX COMPOSITE, and S&P 500is the most efficient market. The analysis includes the S&P 500, the world's most liquid and most prominent stock market, for comparison. In this respect, bubbles occur more in emerging market exchanges. The findings also confirm the validity of the rational bubble law.

Spillover Effects from the Volkswagen Emissions Scandal: An Analysis of Stock and Corporate Bond Markets

This study examines spillover effects following Volkswagen’s admission of emissions cheating. We first estimate initial operational losses of 8.45% of Volkswagen’s equity market capitalization on the date before the announcement, reputational losses up to five times these losses, and significant negative shocks to its stocks and bonds. Analyzing spillover effects from this shock beyond the usually only measured losses in equity value, we find significant negative net spillover effects to European competitors and suppliers in both stock and bond markets. Studying the economic effects in more detail, we show that Volkswagen’s total losses of 27.4 billion euros in terms of changes in equity market values over the first five event days are almost entirely composed of abnormal losses. Furthermore, competitors (suppliers) overall suffered 18.3 (12.6) billion euros of abnormal losses during this time, with 60% (69%) of the firms exhibiting negative changes, especially European competitors and suppliers connected to Volkswagen. These figures are further increased by negative bond market value changes. Overall, our results strongly emphasize that neglecting debt holders losses can lead to an underestimation of such events.

USING SVR AND MRA METHODS FOR REAL ESTATE VALUATION IN THE SMART CITIES

Determination of real estate value plays a very critical role in economic development and basic needs of people. Increasing demand for real estate together with population growth is making it difficult to determine real estate value. In applications where real estate is the main subject, such as urban activities, smart cities and urbanization, urban information system and valuation systems, model-based value estimations are essential for effective land/real estate policy. The type of real estate and impact degree of features depending on the type should be known as well as value estimation. It will be beneficial to follow a method that both determines the real estate value and factor impact degree. With the studies to be carried out using such methods, both region-specific valuation models can be created and the model is established with the optimum variable. This paper aimed to determine real estate value by using Support Vector Regression (SVR) and Multi Regression Analysis (MRA) methods for effective real estate management. Besides, both methods were examined by revealing the impact degrees of features that affect the value. The methods were applied to 319 parcels in Konya. For each parcel, 31 land features and market values were collected. The parcel data collected since 2018 were included in the models. From the results, the RBF-SVR model reached the highest R2 value with 0.88, while the MRA model reached 0.86.

Research on strategic partner selection under industrial agglomeration

<p>The selection of excellent partners for enterprises is crucial to the establishment and operation of industrial agglomeration enterprise alliances. It is not only related to the creation of new market values, the reduction of cost of cooperative enterprises, but also directly affects the efficiency of enterprise alliances. This study analyzes the theory of enterprise cooperation under industrial agglomeration, and establishes the index system, selection method and scientific rational selection process of strategic partner selection under this foundation and background<span style="font-family: 'Times New Roman';">, </span>to provide theoretical guidance for enterprises to choose the best strategic partners for industrial agglomeration.</p>

COMPUTATION OF BONUS IN MULTI-STATE LIFE INSURANCE

We consider computation of market values of bonus payments in multi-state with-profit life insurance. The bonus scheme consists of additional benefits bought according to a dividend strategy that depends on the past realization of financial risk, the current individual insurance risk, the number of additional benefits currently held, and so-called portfolio-wide means describing the shape of the insurance business. We formulate numerical procedures that efficiently combine simulation of financial risk with classic methods for the outstanding insurance risk. Special attention is given to the case where the number of additional benefits bought only depends on the financial risk. Methods and results are illustrated via a numerical example.

Relationship between bud number in seed branches and yield aspects of sweet potato

ABSTRACT Planting sweet potato branches with the appropriate bud number and disposition, below and above ground, can favor vegetative growth and yield that better fit the marketable standards. This study aimed to explore the influence of the number of buds and their distribution ratio, above and below ground level, on the agronomic and marketable components of sweet potato tuberous roots. The experiment was carried out in a randomized complete block design with three replications. The treatments were arranged in a factorial scheme (3 x 5), with 2, 4, and 8 above-ground buds combined with 2, 4, 6, 8, and 10 below-ground buds. Branches from the UZBD 06 accession (Canadense standard) were used. Vegetative, productive, and marketable traits of roots were evaluated. The use of branches with a greater number of buds above and below ground increased shoot dry biomass. Planting seed branches with 8 buds above and 8 buds below ground provided a greater number and production of marketable roots. The use of 10 buried buds increased root number and yield in the 150-450 g marketable classes, which the consumer market values the most.

The Application of Regression Analysis for Estimating the Market Value of Commercial Real Estate

The transaction price of a land property with commercial buildings depends on both its quantitative and qualitative attributes. Quantitative attributes include surface areas of plots of land and usable floor spaces of premises and buildings with various intended purposes, as well as values of rents. Qualitative attributes are represented by the global attributes of these properties.In the analysis of the land property market with commercial buildings, all pairs that relate a transaction price to individual attributes are considered. The market value prediction is based on multiple regression analysis for a two-dimensional random variable, represented by the price and the predetermined attribute. The final market value of the property being valued is calculated as the weighted average of the market values predicted for each attribute.This research paper presents the procedure for determining the market value of land with commercial buildings, which falls within the method of statistical analysis of the market. The derived formulas and substantively justified algorithms may be the basis for market analysis and estimation of the market value of such land. This procedure has been thoroughly verified using two practical numerical examples.