Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)
    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 4)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 7)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 4)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 4)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

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Journal of Quantitative Economics
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0971-1554 - ISSN (Online) 2364-1045
Published by Springer-Verlag Homepage  [2469 journals]
  • Bootstrap Version of Rao–Blackwellization to Two-Step and
           Instrumental Variable Estimators

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      Abstract: Abstract We focus on Arnold and Katti’s application of the Rao–Blackwell theorem to improve preliminary test estimators. The improvement uniformly reduces the mean squared error (MSE) by replacing the pre-test estimator with a suitable conditional expectation. This paper suggests a novel use of the bootstrap to compute the relevant conditional expectation numerically. We illustrate with two econometric estimators. First, a pre-test estimator of the scale elasticity (SCE) for US production of metals. Second, instrumental variables (IV) estimator of the marginal propensity to consume (MPC) of the Haavelmo model. We use relatively large simulation experiments to show MSE reductions in Rao–Blackwellized pre-test and IV estimators. These illustrations show that one can use our bootstrap version to improve these 2-step estimators, and perhaps others.
      PubDate: 2022-05-13
       
  • Comparing the Secular Increasing Trend and Effect of the Response to the
           2008 Financial Recession on Wealth Inequality in the U.S. with Other
           Nations Using the Median-based Gini Index

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      Abstract: Abstract Piketty (Capital in the Twenty First Century; Cambridge MA: Belknap Press) and Dorling (Inequality and the 1%; London: Verso) observed that wealth inequality was increasing at a faster rate than income inequality. Wolff (2017) reached the opposite conclusion based on the fact that the Gini index of net worth increased by 9.8% from 1983 to 2016 while the Gini index of income increased by 24.5% over the same period. Because the Gini index does not fully capture changes in a distribution when almost all gains in income or wealth accrue to the upper end, Gastwirth (Statistical Journal of the IAOS; 30:311–320) used a median-based version (G2), which showed that income inequality in the U.S. and Sweden increased at a faster rate than the usual Gini index. Here, analyzing wealth data using G2 shows that wealth inequality increased faster than the Gini index in the U.S. from 1989 to 2019. Similar results are found for Sweden, India and China from 2000 to 2020. A study of the effect of the 2008 financial crisis using the time trend of G2 provides strong evidence that Sweden’s response it decreased wealth inequality, but the reverse was true in the U.S. Canada was the only nation of the six studied where wealth inequality declined over the 2000–2020 period.
      PubDate: 2022-05-13
       
  • Artificial Neural Network for Modeling the Economic Performance: A New
           Perspective

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      Abstract: Abstract This paper discusses a new representation for the efficiency frontier method through a proposed algorithm for augmented feed forward back propagation neural network models, in order to estimate the economic performance, and the effectiveness of macroeconomic policies in Egyptian economy, by using a quarter time series data from 1990Q1 to 2019Q2. In this study I developed artificial neural network models—ANN—corresponding with the conditions of the Egyptian economy, by building an optimal efficiency frontier and then comparing the actual performance of the Egyptian economy with that limit, which includes the lowest possible variations for both inflation and output. As for the new contribution of this study, it is designated to calculate the optimal inflation rate and the optimal output level in the Egyptian economy through a model, which combines the higher predictive power of feed forward neural network models and the high explanatory power of a stationary or random walk stochastic models, in order to obtain the fitted values of the optimal output level, in addition to the optimal inflation rate. It is clear from the results of the study, the extent of the essential congruence between the actual Egyptian economic performance during the study period and the economic performance index that was built via the new contribution of this study.
      PubDate: 2022-05-09
       
  • The Impact of R&D and Advertising on Firm Performance in High-Tech
           Industries—Evidence from the U.S. Information and Communications
           Technology Industry

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      Abstract: Abstract This paper empirically examines the marketing strategy of advanced technological companies by contemplating the critical role of innovation and advertising when using market share as the central marketing metric. The focus of the empirical setting is the U.S. Information and Communications Technology industry, which includes 150 manufacturing and nonmanufacturing companies over a 10 year period. Surprisingly, the importance of the qualitative characteristics of the industry and its strategic initiatives are largely ignored in the literature. Our quantitative study demonstrates R&D has a significant positive effect on companies’ performance. Increasing the R&D share and the number of patents granted in advanced technological companies raises market share and revenue whereas increasing advertising alone has no significant effect on market share and revenue. Advertising effectiveness in this industry is systematically moderated over a short time. The results imply maintaining innovation efforts in advanced technology industries is necessary to yield better performance.
      PubDate: 2022-05-09
       
  • Trade Structure and Economic Growth in Emerging and Developing Asia: A
           Dynamic Panel Analysis

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      Abstract: Abstract A country’s structure of trade and its impact on the economic growth of nations, has added a new dimension to the literature on trade and growth. That a country’s specialization in different products is important in determining the pattern of growth, is being increasing realized and explored in related emerging literature. The current paper associates itself with this idea, and by means of One Step System Generalized Method of Moments estimator applied to dynamic panel models, tries to determine how the structure of trade has influenced the growth rate in the fastest growing region of the world—the emerging and developing Asia. The paper uses alternative measures of trade structure constructed after classifying the merchandise trade data into several categories on the basis of resource, skill and technological requirements. The approach adopted in this paper is thus quite exhaustive, and analyses the problem for the selected region in a manner not attempted in any of the existing studies. Our analysis suggests contradictory results, with measures based on trade specialization highlighting the growth enhancing effect of high skill and technology intensive manufactures, while measures based on trade shares in GDP revealing the growth retarding effects of primary products. Hence, the study reveals that the effect of trade structure on economic growth is dependent upon its adopted definition.
      PubDate: 2022-05-09
       
  • An Entropy Approach to Measure the Dynamic Stock Market Efficiency

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      Abstract: Abstract We measure stock market efficiency by drawing the comprehensive sample from Asia, Europe, Africa, North–South America, and Pacific Ocean regions and rank the cross-regional stock markets according to their level of informational efficiency. The study period spans from January 1, 1994, to August 3, 2017. We employ the approximate entropy approach and find that stock market efficiency evolves over the period. The degree and nature of evolution vary across regions and the development stage of the markets. The global, regional, domestic economic, and non-economic factors influence the adaptive nature of the stock markets. The emerging stock markets have improved efficiency by financial liberalization policy but are adversely affected by global shocks. The estimates validate the relevance of the adaptive market framework to describe the rejection of random walk without excess returns. The results suggest the growing presence of technical analysis and active portfolio managers. The emerging markets in Asia hold policy lessons for their peers. The findings suggest that global investors need to overcome the homogeneity bias as returns opportunities exist within the region and types of markets.
      PubDate: 2022-05-06
       
  • The Impacts of the Dollar-Renminbi Exchange Rate Misalignment on the
           China-United States Commodity Trade: An Asymmetric Analysis

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      Abstract: Abstract Contrary to most existing studies of the literature that assumed that the effects of real exchange rate (RE) misalignment on trade flows are symmetric, this paper considers a more general and realistic framework allowing for possible asymmetric effects. We use monthly time-series data over the January 2002–October 2020 period from 66 two-digit industries that trade between China and the U.S. in order to avoid the well-known aggregation bias. Estimates of symmetric error-correction models (ECM) revealed that real dollar-renminbi rate misalignment has short-run effects on 35 US exporting and 53 US importing industries. These short-run effects translated into the long run in 18 and 17 industries, respectively. The numbers increased considerably when estimating asymmetric ECM. Indeed, short-run asymmetric effects were then found in 47 US exporting and 62 US importing industries, which translated into long-run asymmetric effects in 20 US exporting and 21 US importing industries. Our analysis highlights the importance of separating currency overvaluation from currency undervaluation in assessing the effects of the RE misalignment on trade flows between the US and China, and confirms that the impacts are industry specific. Our findings (robust to possible structural breaks) are useful for trading industries, and policymakers, and advocate accounting for asymmetries when examining the RE misalignment-trade flows nexus.
      PubDate: 2022-04-25
       
  • Cheap Talk in a New Keynesian Model

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      Abstract: Abstract This paper shows that the stance of fiscal policy does have significant impact on the conduct of monetary policy in the United States. Further, we document that the implied fiscal-monetary policy interactions are subject to regime instability, using a Markov-switching model. Then, we develop a microfoundation of regime switches using a cheap talk game between central bank and government. As a case study, we simulate the effects of regime switches within an otherwise standard New Keynesian model using the cheap talk game in the state-space of our model.
      PubDate: 2022-04-25
       
  • ‘Finance-Growth’ Nexus in India Through the Evolutionary
           Phases of Banking

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      Abstract: Abstract To the existing approach of studying how financial intermediation could be linked to the economic growth of a developing country, present study offers an alternative investigative framework by considering the public and private sector investments in case of the emerging Indian economy. Besides, it also investigates how such relationship has actually evolved over-time by considering the years following Nationalisation in 1969 and Liberalisation in 1991. Using the time-series methodology of cointegration and vector error correction, this paper studied data on Indian economy from 1951 to 2017 and utilises impulse response function of the variables for understanding the effect. It finds strong evidence in favour of the Schumpeterian view and observes that ‘nationalisation’ has negative impact on economic growth while ‘liberalisation’ impacted the same positively.
      PubDate: 2022-04-20
       
  • Instrumental Variables Estimation without Outside Instruments

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      Abstract: Abstract This paper considers an alternative estimation approach of regression models with endogenous regressors when external instruments are not available. An artificial neural network is used to model the correlation between error and regressors coupled with Bayesian exponentially tilted empirical likelihood to obtain a consistent estimation of the model’s parameters. Monte Carlo simulations indicate that the new approach performs well in finite samples. An empirical application is presented to illustrate the usefulness of our proposed approach.
      PubDate: 2022-04-15
       
  • A Macro-Econometric VAR Model of India Incorporating Black Income

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      Abstract: Abstract Are there any interrelationships between black income and macroeconomic variables' This question is the main motivation behind this study. The study finds that black income in India influences her key macroeconomic variables such as the consumption, investment, interest rate and inflation rate. The Bounds test of Cointegration and the Vector Error Correction analysis done in the study demonstrate that black income and the mentioned macroeconomic variables are cointegrated. Besides, the study also demonstrates using Granger causality in a VARX framework that there are interrelationships between black income and the mentioned macroeconomic variables. Black income has lagged impact on itself and on investment. Increases in tax rate and government expenditure increase black income. One of the policy conclusions of the study is that black income should be factored-in in the macroeconomic policy formulation in India.
      PubDate: 2022-04-07
       
  • Perspectives into the Industrialization Process of India Through the New
           Economic Geography Lens

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      Abstract: Abstract The process of industrialization has been validated by economic theory and empirical investigation as one of the fundamental and long-run channel of altering the basic dynamics of the economies in favor of growth and development. Despite the proven positive spillovers accruing from the process, the nations across the world do not reflect an accelerating pace towards industrialization. The current research is an attempt to validate the industrial divide between the northern and southern India based on the fundamental axiom of the ‘New Economic Geography’ theory by Paul Krugman. The analysis is based on the Annual Surveys of Industry data for the year 2018. Stochastic frontier analysis is used to predict and compare the technical efficiencies of the firms located across the two regions. The enquiry confirms the industrial backwardness of the northern India states as compared to the southern ones. The factors causing technical efficiency in the firms across the two regions are empirically established. The study concludes by suggesting various policy recommendations in favor of a converging industrialization process across the whole nation in order to prevent a developmental divide within the country.
      PubDate: 2022-03-17
       
  • Digitalization and Banking Crisis: A Nonlinear Relationship'

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      Abstract: Abstract This study assesses the impact that ICT can have on the occurrence of banking crisis for a sample of 113 countries over the period 1996–2017 while considering the interfering role of corruption and the potential existence of a nonlinear relationship for the ICT-banking crisis nexus. We consider countries with varying income levels to check for the stability of the relationship. Our estimation results show that more highly ICT endowed countries can improve the resilience of the banking system. The study provides evidence that ICTs do not produce the same effect regardless of a country’s level of income. Estimation outcomes show the existence of a threshold effect driving the ICT-banking stability nexus. More results show that Information and communication technologies can improve the stability of the banking system only when corruption is relatively low. However, when corruption is endemic, ICT endowment is useless for the stability of the banking system.
      PubDate: 2022-03-03
      DOI: 10.1007/s40953-022-00292-0
       
  • Lower Corruption Warrants Less, but Higher Corruption Removes it: A
           Ricardian Note

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      Abstract: Abstract This short note uses a textbook kind competitive Ricardian model to check if any change in institutional factor reflecting corruption related intermediation may lead to apparently surprising outcome. I use the idea of finite change in international trade theory to argue how raising the degree of corruption related intermediation cost eventually removes corruption from the system. So, an initial surge in the cost of corruption may turn out to be a welcome change.
      PubDate: 2022-03-03
      DOI: 10.1007/s40953-022-00287-x
       
  • US QE and the Indian Bond Market

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      Abstract: Abstract This paper examines the long- and short-run spillover effects of US quantitative easing (QE) on the benchmark 10-year Indian government bond (IGB) yield by Autoregressive Distributed Lag (ARDL) bounds testing co-integration approach using monthly data from September 2008 to June 2019. The results show that a 10%-point rise in US QE led to a 4 bp rise in yields. The counterfactual analysis shows that volatility of the yields would have been less without the QE. During the episodes of QE, the Reserve Bank of India (RBI) had to alter its policy rate and engage in open-market operations (OMOs) to simultaneously maintain liquidity in the system and reduce the volatility of interest rates. Spillover on the debt yield leads to mispricing of assets and partial loss of the monetary-policy autonomy of the RBI.
      PubDate: 2022-03-01
       
  • The Determinants of Access to Informal Credits in India: An Application of
           Quantiles via Moments Method

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      Abstract: Abstract The paper uses methods proposed by Machado and Silva (J Econom 213 (1): 145–173, 2019) to analyze the determinants or factors associated with informal credit access. The advantage of this approach is that it allows the use of methods that are only valid in the estimation of conditional means, while still providing information on how the regressors affect the entire conditional distribution. Our analysis shows how important it is to consider endogeneity as it is observed from the difference in the estimated value of the effect of rate of interest on credit availability.
      PubDate: 2022-03-01
       
  • State Ownership and Dividend Decisions: Economic Versus Political
           Determinants

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      Abstract: Abstract This paper integrates the effect of state ownership and political influence on dividend decisions. Dilution of state ownership in state owned enterprises is associated with admittance of private owners, weaker political influence and better corporate governance compliance—consequently, leading to higher dividend payouts. Studying the state owned enterprises (250 firms) in India between 2007 and 2016, we use instrumental variable regression models to account for the endogeneity between dividend decisions and state ownership. We find that dividend possibility and amount is negatively associated with state ownership. We also find that dividends are paid more frequently and in large amounts just ahead of elections. Finally, state ownership has a stronger effect on how election cycles affects dividend decisions. Our results are robust to a series of tests.
      PubDate: 2022-01-27
      DOI: 10.1007/s40953-022-00285-z
       
  • Do Boards Govern Executive Remuneration in Indian Banks' An
           Econometric Exploration

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      Abstract: Abstract This paper uses new and unique bank-level data to investigate whether board governance determines executives’ remuneration and if the pay-governance relationship changes across bank ownership groups in India. The findings based on dynamic pay model estimated using two-step system GMM approach reveal that (i) past pay levels hold significant predicting power for the future level of executives’ pay, (ii) executive remuneration is significantly responsive to forward-looking market-based profitability measures, and (iii) individual board attributes play a significant role in pay setting in the Indian banking industry. Frequent board meetings and a more significant proportion of female directors on board moderate the executive remuneration packages. The results further infer that the board’s monitoring abilities considerably differ across ownership groups, with boards play a more prominent role in private banks, while boards of public sector banks lack adequate autonomy to determine executives’ pay. The results validate the “managerial power” approach, suggesting that any weaknesses in governance structure (especially in private banks) may inhibit bank boards from effectively performing their monitoring functions in optimal pay fixation.
      PubDate: 2022-01-27
      DOI: 10.1007/s40953-021-00282-8
       
  • Measuring Time Preferences Using Stated Credit Repayment Choices

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      Abstract: Abstract This paper explores consumers’ repayment decisions and their time preferences. We do this through a hypothetical study using a stated-preference approach. In our experiment, participants are asked to make repayment decisions over time, under different loan sizes. We report five choice trajectories: minimum delay, monotonically decreasing, trajectory with one contradicting choice, trajectory with more than one contradicting choice, and maximum delay. These choice trajectories are taken into account in our modelling approach. Our analysis uses choice models that jointly estimate the discount rate and the probability of choice trajectories. Observed heterogeneity in repayment behaviour is further analysed using sociodemographic factors, and tested for the two loan sizes. We report heterogeneity in consumer repayment decisions, and what happens in the decision-making process for participants in different sociodemographic groups, for different loan sizes. These findings suggest that decision-makers can tailor their strategy for mitigating consumer debts by targeting different groups in the population demonstrating different choice behaviour and decision-making.
      PubDate: 2022-01-27
      DOI: 10.1007/s40953-021-00283-7
       
  • Lease Auctions with Retention Options

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      Abstract: Abstract When a lease expires, the lessor can choose between auctioning it and offering the retention option to the current leaseholder. In the latter case, the leaseholder gets the opportunity to retain or renew the lease by paying the retention price, as decided by the lessor. However, if a leaseholder declines the retention option, the concerned lease is re-allocated via auction. This study compares a lessor’s revenue when it offers the retention option against that when it does not. Retention options prompt academic interest as they are often used to allocate coal, oil, and other mines. They are also used to assign players’ services in sports tournaments like the Indian Premier League (IPL). We study three game-theoretic models with varying assumptions (number of leases, complete/incomplete information, etc.) to achieve the aforementioned objective. In each game, we find the leaseholder’s equilibrium retention strategy and lessor’s expected revenue. We find that retention options help increase the lessor’s revenue when competition among the leaseholder is low. Otherwise, auctioning the leases fetches more revenue.
      PubDate: 2022-01-05
      DOI: 10.1007/s40953-021-00279-3
       
 
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