Academic literature on the topic 'Optimal distribution of dividends'

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Journal articles on the topic "Optimal distribution of dividends"

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Dickson, David C. M., and Howard R. Waters. "Some Optimal Dividends Problems." ASTIN Bulletin 34, no. 01 (May 2004): 49–74. http://dx.doi.org/10.2143/ast.34.1.504954.

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We consider a situation originally discussed by De Finetti (1957) in which a surplus process is modified by the introduction of a constant dividend barrier. We extend some known results relating to the distribution of the present value of dividend payments until ruin in the classical risk model and show how a discrete time risk model can be used to provide approximations when analytic results are unavailable. We extend the analysis by allowing the process to continue after ruin.
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Dickson, David C. M., and Howard R. Waters. "Some Optimal Dividends Problems." ASTIN Bulletin 34, no. 1 (May 2004): 49–74. http://dx.doi.org/10.1017/s0515036100013878.

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We consider a situation originally discussed by De Finetti (1957) in which a surplus process is modified by the introduction of a constant dividend barrier. We extend some known results relating to the distribution of the present value of dividend payments until ruin in the classical risk model and show how a discrete time risk model can be used to provide approximations when analytic results are unavailable. We extend the analysis by allowing the process to continue after ruin.
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Qoshen, Zohar. "Optimal Dividend Policy and Tax Distortions." Israel Law Review 28, no. 1 (1994): 23–42. http://dx.doi.org/10.1017/s0021223700017039.

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A logical starting point for any discussion about dividends is the Irrelevance Theorem developed by Modigliani & Miller. According to this theorem, dividend policy does not affect the firm's value if its investment policy is predetermined. In practice, however, the market does not behave in this manner. Firms do distribute dividends, and increases in dividends usually lead to increases in share prices. Given the inferior tax treatment of cash dividends as opposed to capital gains and the high costs involved in raising new funds in the market, this suggests, contrary to the irrelevance theorem, that investors and managers do care about dividend policy. This phenomenon is known as the “Dividend Puzzle”.The literature on dividend policy revolves around this “puzzle”. Why do managers distribute dividends at all? Why do investors care about dividends? Various explanations have been offered suggesting some benefits to compensate for the extra costs associated with dividend distribution: information or signaling effects (managers use dividends to credibly signal their forecast of the firm's future performance through changes in the level of distribution); reduction of agency costs (by both driving the firm into the capital market and diminishing the internal cash flow available to management).
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Zhu, Jinxia, and Hailiang Yang. "Optimal financing and dividend distribution in a general diffusion model with regime switching." Advances in Applied Probability 48, no. 2 (June 2016): 406–22. http://dx.doi.org/10.1017/apr.2016.7.

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Abstract We study the optimal financing and dividend distribution problem with restricted dividend rates in a diffusion type surplus model, where the drift and volatility coefficients are general functions of the level of surplus and the external environment regime. The environment regime is modeled by a Markov process. Both capital injection and dividend payments incur expenses. The objective is to maximize the expectation of the total discounted dividends minus the total cost of the capital injection. We prove that it is optimal to inject capital only when the surplus tends to fall below 0 and to pay out dividends at the maximal rate when the surplus is at or above the threshold, dependent on the environment regime.
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Avanzi, Benjamin, and Hans U. Gerber. "Optimal Dividends in the Dual Model with Diffusion." ASTIN Bulletin 38, no. 02 (November 2008): 653–67. http://dx.doi.org/10.2143/ast.38.2.2033357.

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In the dual model, the surplus of a company is a Lévy process with sample paths that are skip-free downwards. In this paper, the aggregate gains process is the sum of a shifted compound Poisson process and an independent Wiener process. By means of Laplace transforms, it is shown how the expectation of the discounted dividends until ruin can be calculated, if a barrier strategy is applied, and how the optimal dividend barrier can be determined. Conditions for optimality are discussed and several numerical illustrations are given. Furthermore, a family of models is analysed where the individual gain amount distribution is rescaled and compensated by a change of the Poisson parameter.
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Avanzi, Benjamin, and Hans U. Gerber. "Optimal Dividends in the Dual Model with Diffusion." ASTIN Bulletin 38, no. 2 (November 2008): 653–67. http://dx.doi.org/10.1017/s0515036100015324.

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In the dual model, the surplus of a company is a Lévy process with sample paths that are skip-free downwards. In this paper, the aggregate gains process is the sum of a shifted compound Poisson process and an independent Wiener process. By means of Laplace transforms, it is shown how the expectation of the discounted dividends until ruin can be calculated, if a barrier strategy is applied, and how the optimal dividend barrier can be determined. Conditions for optimality are discussed and several numerical illustrations are given. Furthermore, a family of models is analysed where the individual gain amount distribution is rescaled and compensated by a change of the Poisson parameter.
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Hartono, Powell Gian, Wahyuni Rusliyana Sari, Georgina Maria Tinungki, Jakaria Jakaria, and Agus Budi Hartono. "The Determinants of Dividend Policy: An Empirical Study of Inconsistent Distribution of Dividends Using Balanced Panel Data Analysis." Media Ekonomi dan Manajemen 36, no. 2 (July 1, 2021): 89. http://dx.doi.org/10.24856/mem.v36i2.2023.

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<p>The inconsistent distribution of dividends is a unique phenomenon and it needs to be examined. Therefore, the purpose of this study is to examine ten predictors affecting dividend policy of the inconsistent distribution of dividends. This study used the purposive sampling method to analyze the data that were obtained from a total sample of 133 observation objects collected in the 19 real estates, property, and building construction companies listed on the IDX Between 2013 - 2019. Furthermore, the method used is hypotheses testing and statistical analysis tool used is the hierarchical multiple panel data regression with the Least Squares Dummy Variables. The results obtained from panel A are firm risk, financial leverage, and investment opportunity that affect the dividend policy. Meanwhile, the panel B results are company risk, financial leverage, investment opportunity, and previous dividend, although the previous dividend had no effect due to the different direction of influence. This study proves the determinants and relevance of the parametric statistical analysis in the inconsistent distribution of dividends. Moreover, it is useful for managerial practitioners to pay attention to predictors for increasing company performances and to ensure investors obtain optimal return of their dividend.</p>
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Yao, Dingjun, Hailiang Yang, and Rongming Wang. "OPTIMAL DIVIDEND AND REINSURANCE STRATEGIES WITH FINANCING AND LIQUIDATION VALUE." ASTIN Bulletin 46, no. 2 (January 25, 2016): 365–99. http://dx.doi.org/10.1017/10.1017/asb.2015.28.

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AbstractThis study investigates a combined optimal financing, reinsurance and dividend distribution problem for a big insurance portfolio. A manager can control the surplus by buying proportional reinsurance, paying dividends and raising money dynamically. The transaction costs and liquidation values at bankruptcy are included in the risk model. Under the objective of maximising the insurance company's value, we identify the insurer's joint optimal strategies using stochastic control methods. The results reveal that managers should consider financing if and only if the terminal value and the transaction costs are not too high, less reinsurance is bought when the surplus increases or dividends are always distributed using the barrier strategy.
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Dickson, D. C. M., and S. Drekic. "Optimal Dividends Under a Ruin Probability Constraint." Annals of Actuarial Science 1, no. 2 (September 2006): 291–306. http://dx.doi.org/10.1017/s1748499500000166.

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ABSTRACTWe consider a classical surplus process modified by the payment of dividends when the insurer's surplus exceeds a threshold. We use a probabilistic argument to obtain general expressions for the expected present value of dividend payments, and show how these expressions can be applied for certain individual claim amount distributions. We then consider the question of maximising the expected present value of dividend payments subject to a constraint on the insurer's ruin probability.
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Zou, Zhentao. "Optimal dividend-distribution strategy under ambiguity aversion." Operations Research Letters 48, no. 4 (July 2020): 435–40. http://dx.doi.org/10.1016/j.orl.2020.05.004.

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Dissertations / Theses on the topic "Optimal distribution of dividends"

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Lu, Bing. "Calibration, Optimality and Financial Mathematics." Doctoral thesis, Uppsala universitet, Matematiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209235.

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This thesis consists of a summary and five papers, dealing with financial applications of optimal stopping, optimal control and volatility. In Paper I, we present a method to recover a time-independent piecewise constant volatility from a finite set of perpetual American put option prices. In Paper II, we study the optimal liquidation problem under the assumption that the asset price follows a geometric Brownian motion with unknown drift, which takes one of two given values. The optimal strategy is to liquidate the first time the asset price falls below a monotonically increasing, continuous time-dependent boundary. In Paper III, we investigate the optimal liquidation problem under the assumption that the asset price follows a jump-diffusion with unknown intensity, which takes one of two given values. The best liquidation strategy is to sell the asset the first time the jump process falls below or goes above a monotone time-dependent boundary. Paper IV treats the optimal dividend problem in a model allowing for positive jumps of the underlying firm value. The optimal dividend strategy is of barrier type, i.e. to pay out all surplus above a certain level as dividends, and then pay nothing as long as the firm value is below this level. Finally, in Paper V it is shown that a necessary and sufficient condition for the explosion of implied volatility near expiry in exponential Lévy models is the existence of jumps towards the strike price in the underlying process.
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Ajaja, Adile. "Distribution network optimal reconfiguration." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110641.

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This thesis reports on research conducted on the Optimal Reconfiguration (OR) of distribution networks using Mixed Integer Linear Programming (MILP). At the operational hourly level, for a set of predicted bus loads, OR seeks the optimum on/off position of line section switches, shunt capacitors and distributed generators so that the distribution network is radial and operates at minimum loss. At the planning level, OR seeks the optimum placement of line switches and shunt capacitors so that, over the long-term, losses will be minimized. The main steps and outcomes of this research are (i) the development of a simplified single-phase distribution network model for Optimal Reconfiguration; (ii) the development of a linear DC load flow model with line and device switching variables accounting for both active and reactive power flows; (iii) the development of an algorithm HYPER which finds the minimum loss on/off status of existing line switches, shunt capacitors and distributed generators; (iv) the extension of HYPER to find the optimum (minimum loss) placement of switches, capacitors and distributed generators; (v) the representation of losses via supporting hyperplanes enabling the full linearization of the OR problem, which can then be solved using efficient and commercially available MILP solvers like CPLEX. Keywords: Distribution Network, Optimal Reconfiguration, OR, Loss minimization, Mixed-Integer Linear Programming, MILP, Operations research, Linear network model, DC load flow, Supporting hyperplanes, Real time optimization, Switch, Capacitor and Distributed Generator placement, Power Systems Operations and Planning.
Ce mémoire de thèse rend compte des produits d'activités de recherche menée relativement à la Reconfiguration Optimale (RO) de réseaux de distribution par Programmation Linéaire en Variables Mixtes (PLVM). Dans un contexte de conduite de réseau, la RO s'applique à déterminer l'état ouvert/fermé optimal des interrupteurs, disjoncteurs, condensateurs et producteurs distribués, avec objectif d'opérer à un niveau de pertes minimum un réseau de distribution radial. La RO s'applique également, dans un contexte de planification, à identifier l'emplacement optimal sur le réseau d'interrupteurs, disjoncteurs et condensateurs visant le maintien, sur le long terme, des pertes à un niveau minimum. Les principaux résultats de cette recherche sont: (i) le développement d'un modèle unifilaire simplifié de réseau de distribution pour la Reconfiguration Optimale; (ii) le développement d'un modèle d'écoulement de puissance linéaire avec variables contrôlant l'état des lignes, adapté autant pour l'écoulement de puissance actif que réactif; (iii) le développement de l'algorithme HYPER capable d'identifier l'état ouvert/fermé optimal (minimum de pertes) des interrupteurs, disjoncteurs, condensateurs et producteurs distribués; (iv) une extension de l'algorithme HYPER permettant de déterminer l'emplacement optimal (minimum de pertes) d'interrupteurs, disjoncteurs, condensateurs et producteurs distribués; (v) la représentation des pertes via hyperplans-porteurs permettant la linéarisation complète du problème RO et sa résolution par l'emploi de solveurs PLVM performants et commercialement disponibles tels que CPLEX.Mots clés: Réseau de distribution, Reconfiguration Optimale, RO, Minimisation des pertes, Programmation Linéaire en Variables Mixtes, PLVM, Recherche opérationnelle, Modèle de réseau linéaire, Écoulement de puissance linéaire, Hyperplans-porteurs, Optimisation temps réel, Interrupteur, Disjoncteur, Condensateur, Producteur privé, Exploitation, Conduite, Planification.
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Fletcher, Robert Henry. "Optimal distribution system horizon planning /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6018.

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Melovic, Dejan. "Optimal distribution network design policy." Thesis, University of Manchester, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557289.

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Khelifa, Abdelghafor. "Design of optimal distribution networks." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46391.

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Scheer, Natalie [Verfasser], Hanspeter [Akademischer Betreuer] Schmidli, and Josef [Akademischer Betreuer] Steinebach. "Optimal stochastic control of dividends and capital injections / Natalie Scheer. Gutachter: Hanspeter Schmidli ; Josef Steinebach." Köln : Universitäts- und Stadtbibliothek Köln, 2011. http://d-nb.info/1038065259/34.

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Bester, P. G. "Shareholder distribution choices for industrial companies listed on the JSE : share buybacks versus dividends." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/8443.

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Thesis (MBA)--Stellenbosch University, 2008.
ENGLISH ABSTRACT: Repurchasing of shares by South African companies were legalised on 1 July 1999. This introduced an alternative to dividends for distributing cash to shareholders. Although dividends and share repurchases realise the same value in a perfect efficient market, the inefficiencies of the South African stock market require managers to carefully evaluate factors like taxation and stock price valuation when selecting appropriate distribution methods. This research report aims to update shareholder distribution trends for industrial JSE listed companies over the past 10 years in order to determine the impact of share repurchases on dividend payouts. Furthermore, this research report examines the factors that may have had an impact on shareholder distribution choices in order to provide some guidelines for choosing appropriate distribution methods. An initial analysis of SENS share repurchase announcements revealed that 121 JSE listed companies repurchased about R50 billion worth of shares up to 30 June 2007. The bulk of the shares, 65% by value, were repurchased on the open market, while 35% was repurchased through specific fixed price offers. However, a comparison of accurate share repurchase data obtained from a sample of company annual reports, indicate that repurchase announcements understate actual repurchases by more than 20% on average. Further analysis of distribution trends were therefore based on actual repurchase data published in annual reports rather than SENS announcements. After the legalisation of share repurchases in South Africa, a decline in dividend paying companies was expected similar to that experienced by the United States since the 80's. However, a detailed analysis of 132 industrial listed companies indicated that the proportion of dividend paying companies increased from a level of 50% to almost 75% since the introduction of share repurchases. On the other hand, the proportion of companies repurchasing shares initially rose to over 25%, but then declined to below 20% by 2007. Ordinary dividends are the dominant shareholder distribution choice with 64% of companies opting for this method. Open market share repurchases have been well adopted with 17% of companies using this method, while only 5% and 4% of companies using special dividends or specific repurchases respectively. Dividends paid out of share premium (capital distributions) have also emerged as a favourite over recent years with almost 20% of companies using this shareholder distribution method. Current tax legislation do not provide all the advantages usually enjoyed by share repurchases internationally and have largely prevented dividends from being substituted by share repurchases. The decline in share repurchases up to 2007 also indicates that share repurchases become less effective as share prices increase to overvalued levels. While tax implications and stock price valuation remain the dominant determinants of shareholder distribution choice, this study shows that shareholder diversity, dividend preferences, size of distribution, and BEE requirements also have significant influences on the choice of distribution method in the South African context.
AFRIKAANSE OPSOMMING: Die terugkoop van aandele deur Suid-Afrikaanse maatskappye is wettig sedert 1 Julie 1999. Dit het 'n alternatief tot dividende in werking gestel om kontant aan aandeelhouers uit te keer. Alhoewel dividende en aandele-terugkoop dieselfde waarde in 'n perfekte doeltreffende mark realiseer, vereis die tekortkominge van die Suid-Afrikaanse aandelemark dat bestuurders faktore soos belasting en aandeelpryswaardasie versigtig moet oorweeg tydens die keuse van geskikte uitkeringsmetodes. Die doelwit van hierdie navorsingsverslag is om die tendense van uitkerings aan aandeelhouers te hersien vir industriele JSE-genoteerde maatskappye oor die laaste 10 jaar om sodoende die effek van aandele-terugkope op dividenduitbetalings te bepaal. Verder ondersoek hierdie navorsingsverslag ook die faktore wat moonlik 'n invloed op aandeelhouers-uitkeringskeuses gehad het, om sodoende riglyne vir die keuse van geskikte uitkeringsmetodes saam te stel. 'n Voorlopige analise van SENS-terugkoopaankondigings toon dat 121 JSE-genoteerde maatskappye ongeveer R50 miljard se aandele teruggekoop het tot en met 30 Junie 2007. Die grootste gedeelte van hierdie aandele, 65% se waarde, is op die ope mark teruggekoop terwyl 35% deur spesifieke vasteprys terugkope verkry is. 'n Vergelyking met terugkoopsyfers wat uit 'n steekproef van maatskappyjaarverslae geneem is, dui egter daarop dat aankondigings die ware terugkope met gemiddeld 20% onderskat. Verdere ontleding van aandeelhouers-uitkeringstendense word derhalwe gebaseer op syfers wat in jaarverslae gepubliseer is, eerder as SENS-aankondigings. Na die wettiging van aandele-terugkoop in Suid-Afrika, is verwag dat dividenduitbetalings sou daal soortgelyk aan dit wat in die Verenigde State ondervind is sedert die 80's. Die ondersoek van 132 genoteerde industriele maatskappye toon egter dat die persentasie van maatskappye wat dividende betaal van 50% tot bykans 75% toegeneem het sedert aandele-terugkoop 'n beskikbare opsie is. In teenstelling hiermee, het die persentasie maatskappye wat aandele terugkoop aanvanklik tot 25% gestyg, maar sedertdien afgeneem tot onder 20% teen 2007. Gewone dividende is die gewildste aandeelhouers-uitkeringsmetode met 64% van maatskappye wat van hierdie metode gebruik maak. Aandele-terugkope op die ope mark is goed verteenwoordig met 17% van maatskappye wat van hierdie metode gebruik gemaak het, terwyl slegs 5% en 4% van maatskappye onderskeidelik van spesiale dividende en spesifieke aandele-terugkope gebruik gemaak het. Dividende uit aandelepremie (kapitaaluitkerings) het ook na vore getree as 'n gunsteling keuse in die laaste paar jaar met bykans 20% van maatskappye wat hierdie uitkeringsmetode gebruik het. Huidige belastingswetgewing bied nie al die belastingvoordele aan aandele-terugkope wat normaalweg deur internasionale maatskappye benut word nie en het grotendeels verhoed dat dividende deur aandele-terugkoop vervang is. Die afname in aandeleterugkope tot en met 2007 is ook 'n aanduiding dat dit minder effektief raak soos wat aandeelpryse oor gewaardeerde vlakke styg. Terwyl belasting-oorwegings en aandeelpryswaardasies steeds die dominante drywers van aandeelhouersuitkeringskeuses bly, bevind hierdie studie dat faktore soos aandeelhouers se diversiteit, dividendvoorkeure, grootte van uitkerings, en vereistes van swart ekonomiese bemagtiging ook 'n noemenswaardige invloed op uitkeringskeuses binne die Suid-Afrikaanse konteks het.
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Okraszewski, Tomasz M. "Optimal concepts for the distribution cable networks /." Aachen : Shaker, 2008. http://d-nb.info/990542262/04.

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Huang, Fengqin 1975. "Optimal Grain Production and Distribution in China." Thesis, North Dakota State University, 2006. https://hdl.handle.net/10365/29908.

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The objective of this study is to evaluate the configuration of China's grain production pattern and the implications for agricultural trade. A spatial equilibrium model is developed to optimize grain production and distribution in China and its trade relationship with its trade partners. This study focuses on four grain crops: rice, wheat, com, and soybeans. The model divides China into 31 producing regions and 31 consuming regions. The model also includes seven exporting countries and six Asian importing regions. Results indicate that China can improve its grain production and social welfare through production specialization under a free-trade environment. China could become a major wheat and soybean importer, and a com and rice exporter to Asian countries. The study also provides perspectives on U.S. exports to China and other Asian countries.
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Cheng, Mingliang. "Corporate valuation and optimal operation under liquidity constraints." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/corporate-valuation-and-optimal-operation-under-liquidity-constraints(9dbf048a-87e0-434d-aac5-b5bd6b6963c8).html.

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We investigate the impact of cash reserves upon the optimal behaviour of a modelled firm that has uncertain future revenues. To achieve this, we build up a corporate financing model of a firm from a Real Options foundation, with the option to close as a core business decision maintained throughout. We model the firm by employing an optimal stochastic control mathematical approach, which is based upon a partial differential equations perspective. In so doing, we are able to assess the incremental impacts upon the optimal operation of the cash constrained firm, by sequentially including: an optimal dividend distribution; optimal equity financing; and optimal debt financing (conducted in a novel equilibrium setting between firm and creditor). We present efficient numerical schemes to solve these models, which are generally built from the Projected Successive Over Relaxation (PSOR) method, and the Semi-Lagrangian approach. Using these numerical tools, and our gained economic insights, we then allow the firm the option to also expand the operation, so they may also take advantage of favourable economic conditions.
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Books on the topic "Optimal distribution of dividends"

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Bhave, Pramod R. Optimal design of water distribution networks. Pangbourne, England: Alpha Science International, Ltd., 2003.

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Kaplow, Louis. Optimal distribution and taxation of the family. Cambridge, MA: National Bureau of Economic Research, 1992.

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Wang, Yu, Shiwen Mao, and R. Mark Nelms. Online Algorithms for Optimal Energy Distribution in Microgrids. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17133-3.

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Kilgour, D. Marc. The optimal distribution of IAEA inspection effort: Final report. [Canada]: Non-proliferation, Arms Control and Disarmament Division, Foreign Affairs and International Trade Canada, 1994.

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Gersovitz, Mark. The size distribution of firms, cournot, and optimal taxation. [Washington, D.C.]: International Monetary Fund, Fiscal Affairs Dept., 2006.

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Kilgour, D. Marc. The optimal distribution of IAEA inspection effort: Final report. [Ottawa, Ont: External Affairs and International Trade Canada, 1994.

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Tridimas, George. Optimal public provision under costly take up. Reading, England: University of Reading, Dept. of Economics, 1992.

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Tridimas, George. Optimal public provision under costly take-up. Reading: University of Reading, 1992.

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Bernheim, B. Douglas. Optimal money burning: Theory and application to corporate dividend policy. Cambridge, MA: National Bureau of Economic Research, 1996.

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Chen, Yue-Chun. Analysis, modelling and optimal control of water supply and distribution systems. Leicester: Leicester Polytechnic, 1989.

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Book chapters on the topic "Optimal distribution of dividends"

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Birkin, Mark, and Richard Culf. "Optimal Distribution Strategies." In Advances in Spatial Science, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04625-8_12.

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Negishi, Takashi. "Optimal Income Distribution." In Advances in Japanese Business and Economics, 147–65. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54535-4_9.

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Connor, Jerome, and Simon Laflamme. "Optimal Passive Damping Distribution." In Structural Motion Engineering, 141–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06281-5_4.

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Knoopl, Jens, and Eduard Mehofer. "Optimal distribution assignment placement." In Euro-Par'97 Parallel Processing, 364–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0002758.

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Ebeed, Mohamed, Salah Kamel, Shady H. E. Abdel Aleem, and Almoataz Y. Abdelaziz. "Optimal Allocation of Compensators." In Electric Distribution Network Planning, 321–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_12.

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Mariano, S. J. P. S., J. A. N. Pombo, M. R. A. Calado, and J. A. M. Felippe de Souza. "Damping of Power System Oscillations with Optimal Regulator." In Electricity Distribution, 173–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49434-9_7.

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Almeida, Carlos Frederico Meschini, Gabriel Albieri Quiroga, Henrique Kagan, and Nelson Kagan. "Optimal Allocation of Automatic Reclosers." In Electric Distribution Network Planning, 355–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_13.

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Connor, Jerome, and Simon Laflamme. "Optimal Stiffness Distribution: Static Loading." In Structural Motion Engineering, 33–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06281-5_2.

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Anagnostou, Miltiades E. "Optimal distribution of service components." In Lecture Notes in Computer Science, 17–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056949.

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Ng, Yew-Kwang. "The Optimal Distribution of Income." In Welfare Economics, 127–43. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403944061_6.

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Conference papers on the topic "Optimal distribution of dividends"

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Fahria, Izma, and Elyas Kustiawan. "Genetic Algorithm Approach in Forming the Optimal Portfolio of Issuer Companies with Dividend Distribution Criteria." In 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210508.107.

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Chen, Shian, Ren He, Senlin Lu, and Ming Yao. "Modeling of Air-Powered Engine Based on Time Coordinate and Optimal Approach of Gas Distribution Parameters." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28606.

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The objective of this research is to provide systematic investigations to modeling and optimal design of the air-powered engine for improving its comprehensive performance. A thermo-dynamics model of the air-powered engine based on time coordinate is established. The simulation and analysis results show that the gas distribution parameters are the key factors to get a valid performance for the air-powered engine, such as a large valve overlap angle leading to a low efficiency of the air-powered engine in particular. A performance evaluating function of the air-powered engine considering power output and energy conversion efficiency is proposed. To improve the searching efficiency in optimization, four gas distribution parameters associated with the comprehensive performance of the air-powered engine including the intake advance angle, basal of intake sustain angle, exhaust advance angle and exhaust delay angle, are divided as a mainstream factor group and a subordinate factor group according to their relative importance. So the iterative search in optimization becomes more efficient. An example is illustrated to show the validity of the modeling. The optimal simulation result shows that we can get a bigger power output with 19.7% more than the original state and bigger energy conversion efficiency with 98.47% more than original state.
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Tang, Ling, and Huai Xu. "Approximations of the Optimal Dividends Barrier in Classical Risk Model." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.106.

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Lambe, Andrew B., and Aleksander Czekanski. "Adaptive Topology Optimization Using a Continuous Approximation of Material Distribution." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65537.

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Structural topology optimization seeks to distribute material in a design domain to produce the stiffest structure for a given mass or the lightest structure for a given strength. In the density-based approach to topology optimization, the design domain is divided into small elements and an optimization algorithm determines whether each element in the optimal design contains solid material or void. Solutions obtained using this method may suffer from a variety of issues, such as a checkerboard pattern of solid and void elements, large transition regions between solid and void parts of the structure, and dependence of the final solution on the initial mesh. Typically, these issues are mitigated using filters, projection functions, or a combination of the two. However, applying these techniques requires the user to select a few parameter values and the optimal design strongly depends on the selected parameters. This work presents an alternative approach to addressing the aforementioned issues in density-based topology optimization. Rather than assigning a separate design variable to each element in the domain, a continuous approximation of the density field is used. This field is interpolated using finite element shape functions with the scaling coefficients of these shape functions acting as design variables in the optimization problem. Although this technique is known to produce an optimal design that is free of checkerboard patterns, it leads to a large transition region at the boundary of the structure whose size depends on the size of the finite elements used. To systematically reduce the size of this transition region, the finite element mesh is locally refined near the structural boundary and the design is optimized again. Because the mesh implicitly controls the size of the transition region, local refinement and optimization continue until the smallest cells in the mesh reach an acceptable resolution. A local refinement indicator is developed to identify and refine cells lying in the transition region. Local isotropic mesh refinement is used to maintain reasonable cell sizes over most of the design domain and, consequently, keep the computational cost of both the finite element analysis and the optimization down. Anisotropic mesh refinement may also be used with a suitable indicator, though it is not demonstrated here. While both continuous density parametrization and adaptive mesh refinement have been applied independently to problems in topology optimization, this work applies them simultaneously for the first time. Structural designs produced by this method are shown to be free of checkerboard patterns and contain features whose size is largely controlled by the initial coarse mesh. In addition, the boundary can be sharply identified for additional processing, such as translation to a CAD file in preparation for fabrication and manufacturing. A disadvantage of the current method is that small features may emerge in the refined parts of the mesh after multiple refinements. Computations were carried out using open-source finite-element analysis and optimization tools. Results are presented for a pair of well-known two-dimensional topology optimization test problems. While not demonstrated in this work, the methodology can be extended easily to three-dimensional problems.
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Schulz, Sheila Jeane, Elisandra Henn Diel, and Jorge Ribeiro de Toledo Filho. "BEHAVIOR OF THE STOCK VALUE AFTER DIVIDENDS AND INTEREST ON CAPITAL DISTRIBUTION." In 10th CONTECSI International Conference on Information Systems and Technology Management. Sao Paulo: TECSI, 2013. http://dx.doi.org/10.5748/9788599693094-10contecsi/ps-382.

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Liang, Xiang, and Zhong Ma. "Opening the black box: Business distribution in a group enterprise and Cash dividends." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930397.

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Montes-de-Oca, Raúl, Patricia Saavedra, Gabriel Zacarías-Espinoza, and Daniel Cruz-Suárez. "Optimal Policies for Payment of Dividends through a Fixed Barrier at Discrete Time." In 6th International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006193701400149.

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Jiang, Guochao, Susheng Wang, and Hailing Dong. "Valuation and Optimal Exercise Time of American Call Option on Stock Paying Stochastic Dividends." In 2011 3rd International Workshop on Intelligent Systems and Applications (ISA). IEEE, 2011. http://dx.doi.org/10.1109/isa.2011.5873430.

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Zaiming Liu and Hua Dong. "Optimal dividends in a risk model with dependence between claim sizes and claim intervals." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5619984.

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Guo, Pengcheng, Xingqi Luo, Xiaobo Zheng, and Shengzhu Liu. "CFD-Based Match Design and Improving Performance for Francis Turbine Components." In ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/fedsm2008-55246.

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The CFD-based design tool is applied to investigate and improve the flow matching relationship and the hydraulic performance of Francis turbine components for a turbine rehabilitation project. At first numerical analysis of spiral casing with stay vanes was performed, the discharge angle distribution at the spiral casing outlet was obtained and according to the discharge angle distribution, the stay vanes were divided into 5 groups to correspond with the spiral casing discharge angle distribution. The circumferential relative position relationship between the stay vanes and the guide vanes was numerical investigated by altering the circumferential position of the stay vane, and the optimal matching relationship between the stay vane outflow angle and the guide vane inflow angle was obtained. Systemic measures of adopting negative rake angle blades, increasing blade number, increasing blade wrap angle, thickening blade exit edge, and reducing optimum unit speed were used to develop a new runner that replaced existing runner to damp the vibration of turbine units. And the model test comparison in the same conditions of the new runner and existing runner was carried out and the results showed that the severe vibration of the power building floor was eliminated.
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Reports on the topic "Optimal distribution of dividends"

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Albouy, David, Kristian Behrens, Frédéric Robert-Nicoud, and Nathan Seegert. The Optimal Distribution of Population across Cities. Cambridge, MA: National Bureau of Economic Research, November 2016. http://dx.doi.org/10.3386/w22823.

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Kaplow, Louis. Optimal Distribution and Taxation of the Family. Cambridge, MA: National Bureau of Economic Research, October 1992. http://dx.doi.org/10.3386/w4189.

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Bezawada, Bruhadeshwar, and Sandeep S. Kulkarni. An Optimal Symmetric Secret Distribution of Star Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada471506.

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Girigoudar, Kshitij. Linearized three-phase optimal power flow models for distribution grids. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1813820.

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Johnson, Jay Tillay, Adam Summers, Rachid Darbali-Zamora, Clifford Hansen, Matthew J. Reno, Anya Castillo, Sigifredo Gonzalez, et al. Optimal Distribution System Voltage Regulation using State Estimation and DER Grid-Support Functions. Office of Scientific and Technical Information (OSTI), February 2020. http://dx.doi.org/10.2172/1638511.

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Agrawal, Ajay, Devesh Kapur, and John McHale. Birds of a Feather - Better Together? Exploring the Optimal Spatial Distribution of Ethnic Inventors. Cambridge, MA: National Bureau of Economic Research, January 2007. http://dx.doi.org/10.3386/w12823.

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Ramp, Steven R. Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531817.

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Lermusiaux, Pierre F. Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533508.

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Bahr, Frederick L., and Steven R. Ramp. Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada582359.

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Ramp, Steven R. Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada590800.

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